Real-Time Speech/Music Classification With a Hierarchical Oblique Decision Tree

DTIC Science & Technology

2008-04-01

REAL-TIME SPEECH/ MUSIC CLASSIFICATION WITH A HIERARCHICAL OBLIQUE DECISION TREE Jun Wang, Qiong Wu, Haojiang Deng, Qin Yan Institute of Acoustics...time speech/ music classification with a hierarchical oblique decision tree. A set of discrimination features in frequency domain are selected...handle signals without discrimination and can not work properly in the existence of multimedia signals. This paper proposes a real-time speech/ music

DOE Office of Scientific and Technical Information (OSTI.GOV)

Mosher, J.C.; Leahy, R.M.

A new method for source localization is described that is based on a modification of the well known multiple signal classification (MUSIC) algorithm. In classical MUSIC, the array manifold vector is projected onto an estimate of the signal subspace, but errors in the estimate can make location of multiple sources difficult. Recursively applied and projected (RAP) MUSIC uses each successively located source to form an intermediate array gain matrix, and projects both the array manifold and the signal subspace estimate into its orthogonal complement. The MUSIC projection is then performed in this reduced subspace. Using the metric of principal angles,more » the authors describe a general form of the RAP-MUSIC algorithm for the case of diversely polarized sources. Through a uniform linear array simulation, the authors demonstrate the improved Monte Carlo performance of RAP-MUSIC relative to MUSIC and two other sequential subspace methods, S and IES-MUSIC.« less

Truncated RAP-MUSIC (TRAP-MUSIC) for MEG and EEG source localization.

PubMed

Mäkelä, Niko; Stenroos, Matti; Sarvas, Jukka; Ilmoniemi, Risto J

2018-02-15

Electrically active brain regions can be located applying MUltiple SIgnal Classification (MUSIC) on magneto- or electroencephalographic (MEG; EEG) data. We introduce a new MUSIC method, called truncated recursively-applied-and-projected MUSIC (TRAP-MUSIC). It corrects a hidden deficiency of the conventional RAP-MUSIC algorithm, which prevents estimation of the true number of brain-signal sources accurately. The correction is done by applying a sequential dimension reduction to the signal-subspace projection. We show that TRAP-MUSIC significantly improves the performance of MUSIC-type localization; in particular, it successfully and robustly locates active brain regions and estimates their number. We compare TRAP-MUSIC and RAP-MUSIC in simulations with varying key parameters, e.g., signal-to-noise ratio, correlation between source time-courses, and initial estimate for the dimension of the signal space. In addition, we validate TRAP-MUSIC with measured MEG data. We suggest that with the proposed TRAP-MUSIC method, MUSIC-type localization could become more reliable and suitable for various online and offline MEG and EEG applications. Copyright © 2017 Elsevier Inc. All rights reserved.

Estimation of source location and ground impedance using a hybrid multiple signal classification and Levenberg-Marquardt approach

NASA Astrophysics Data System (ADS)

Tam, Kai-Chung; Lau, Siu-Kit; Tang, Shiu-Keung

2016-07-01

A microphone array signal processing method for locating a stationary point source over a locally reactive ground and for estimating ground impedance is examined in detail in the present study. A non-linear least square approach using the Levenberg-Marquardt method is proposed to overcome the problem of unknown ground impedance. The multiple signal classification method (MUSIC) is used to give the initial estimation of the source location, while the technique of forward backward spatial smoothing is adopted as a pre-processer of the source localization to minimize the effects of source coherence. The accuracy and robustness of the proposed signal processing method are examined. Results show that source localization in the horizontal direction by MUSIC is satisfactory. However, source coherence reduces drastically the accuracy in estimating the source height. The further application of Levenberg-Marquardt method with the results from MUSIC as the initial inputs improves significantly the accuracy of source height estimation. The present proposed method provides effective and robust estimation of the ground surface impedance.

Angular Superresolution for a Scanning Antenna with Simulated Complex Scatterer-Type Targets

DTIC Science & Technology

2002-05-01

Approved for public release; distribution unlimited. The Scan- MUSIC (MUltiple SIgnal Classification), or SMUSIC, algorithm was developed by the Millimeter...with the use of a single rotatable sensor scanning in an angular region of interest. This algorithm has been adapted and extended from the MUSIC ...simulation. Abstract ii iii Contents 1. Introduction 1 2. Extension of the MUSIC Algorithm for Scanning Antenna 2 2.1 Subvector Averaging Method

Method and Apparatus for Reducing Noise from Near Ocean Surface Sources

DTIC Science & Technology

2001-10-01

reducing the acoustic noise from near-surface 4 sources using an array processing technique that utilizes 5 Multiple Signal Classification ( MUSIC ...sources without 13 degrading the signal level and quality of the TOI. The present 14 invention utilizes a unique application of the MUSIC beamforming...specific algorithm that utilizes a 5 MUSIC technique and estimates the direction of arrival (DOA) of 6 the acoustic signal signals and generates output

Music-Elicited Emotion Identification Using Optical Flow Analysis of Human Face

NASA Astrophysics Data System (ADS)

Kniaz, V. V.; Smirnova, Z. N.

2015-05-01

Human emotion identification from image sequences is highly demanded nowadays. The range of possible applications can vary from an automatic smile shutter function of consumer grade digital cameras to Biofied Building technologies, which enables communication between building space and residents. The highly perceptual nature of human emotions leads to the complexity of their classification and identification. The main question arises from the subjective quality of emotional classification of events that elicit human emotions. A variety of methods for formal classification of emotions were developed in musical psychology. This work is focused on identification of human emotions evoked by musical pieces using human face tracking and optical flow analysis. Facial feature tracking algorithm used for facial feature speed and position estimation is presented. Facial features were extracted from each image sequence using human face tracking with local binary patterns (LBP) features. Accurate relative speeds of facial features were estimated using optical flow analysis. Obtained relative positions and speeds were used as the output facial emotion vector. The algorithm was tested using original software and recorded image sequences. The proposed technique proves to give a robust identification of human emotions elicited by musical pieces. The estimated models could be used for human emotion identification from image sequences in such fields as emotion based musical background or mood dependent radio.

Matched field localization based on CS-MUSIC algorithm

NASA Astrophysics Data System (ADS)

Guo, Shuangle; Tang, Ruichun; Peng, Linhui; Ji, Xiaopeng

2016-04-01

The problem caused by shortness or excessiveness of snapshots and by coherent sources in underwater acoustic positioning is considered. A matched field localization algorithm based on CS-MUSIC (Compressive Sensing Multiple Signal Classification) is proposed based on the sparse mathematical model of the underwater positioning. The signal matrix is calculated through the SVD (Singular Value Decomposition) of the observation matrix. The observation matrix in the sparse mathematical model is replaced by the signal matrix, and a new concise sparse mathematical model is obtained, which means not only the scale of the localization problem but also the noise level is reduced; then the new sparse mathematical model is solved by the CS-MUSIC algorithm which is a combination of CS (Compressive Sensing) method and MUSIC (Multiple Signal Classification) method. The algorithm proposed in this paper can overcome effectively the difficulties caused by correlated sources and shortness of snapshots, and it can also reduce the time complexity and noise level of the localization problem by using the SVD of the observation matrix when the number of snapshots is large, which will be proved in this paper.

TSaT-MUSIC: a novel algorithm for rapid and accurate ultrasonic 3D localization

NASA Astrophysics Data System (ADS)

Mizutani, Kyohei; Ito, Toshio; Sugimoto, Masanori; Hashizume, Hiromichi

2011-12-01

We describe a fast and accurate indoor localization technique using the multiple signal classification (MUSIC) algorithm. The MUSIC algorithm is known as a high-resolution method for estimating directions of arrival (DOAs) or propagation delays. A critical problem in using the MUSIC algorithm for localization is its computational complexity. Therefore, we devised a novel algorithm called Time Space additional Temporal-MUSIC, which can rapidly and simultaneously identify DOAs and delays of mul-ticarrier ultrasonic waves from transmitters. Computer simulations have proved that the computation time of the proposed algorithm is almost constant in spite of increasing numbers of incoming waves and is faster than that of existing methods based on the MUSIC algorithm. The robustness of the proposed algorithm is discussed through simulations. Experiments in real environments showed that the standard deviation of position estimations in 3D space is less than 10 mm, which is satisfactory for indoor localization.

MUSIC imaging method for electromagnetic inspection of composite multi-layers

NASA Astrophysics Data System (ADS)

Rodeghiero, Giacomo; Ding, Ping-Ping; Zhong, Yu; Lambert, Marc; Lesselier, Dominique

2015-03-01

A first-order asymptotic formulation of the electric field scattered by a small inclusion (with respect to the wavelength in dielectric regime or to the skin depth in conductive regime) embedded in composite material is given. It is validated by comparison with results obtained using a Method of Moments (MoM). A non-iterative MUltiple SIgnal Classification (MUSIC) imaging method is utilized in the same configuration to locate the position of small defects. The effectiveness of the imaging algorithm is illustrated through some numerical examples.

Radar target classification method with high accuracy and decision speed performance using MUSIC spectrum vectors and PCA projection

NASA Astrophysics Data System (ADS)

Secmen, Mustafa

2011-10-01

This paper introduces the performance of an electromagnetic target recognition method in resonance scattering region, which includes pseudo spectrum Multiple Signal Classification (MUSIC) algorithm and principal component analysis (PCA) technique. The aim of this method is to classify an "unknown" target as one of the "known" targets in an aspect-independent manner. The suggested method initially collects the late-time portion of noise-free time-scattered signals obtained from different reference aspect angles of known targets. Afterward, these signals are used to obtain MUSIC spectrums in real frequency domain having super-resolution ability and noise resistant feature. In the final step, PCA technique is applied to these spectrums in order to reduce dimensionality and obtain only one feature vector per known target. In the decision stage, noise-free or noisy scattered signal of an unknown (test) target from an unknown aspect angle is initially obtained. Subsequently, MUSIC algorithm is processed for this test signal and resulting test vector is compared with feature vectors of known targets one by one. Finally, the highest correlation gives the type of test target. The method is applied to wire models of airplane targets, and it is shown that it can tolerate considerable noise levels although it has a few different reference aspect angles. Besides, the runtime of the method for a test target is sufficiently low, which makes the method suitable for real-time applications.

Music viewed by its entropy content: A novel window for comparative analysis

PubMed Central

Febres, Gerardo; Jaffe, Klaus

2017-01-01

Polyphonic music files were analyzed using the set of symbols that produced the Minimal Entropy Description, which we call the Fundamental Scale. This allowed us to create a novel space to represent music pieces by developing: (a) a method to adjust a textual description from its original scale of observation to an arbitrarily selected scale, (b) a method to model the structure of any textual description based on the shape of the symbol frequency profiles, and (c) the concept of higher order entropy as the entropy associated with the deviations of a frequency-ranked symbol profile from a perfect Zipfian profile. We call this diversity index the ‘2nd Order Entropy’. Applying these methods to a variety of musical pieces showed how the space of ‘symbolic specific diversity-entropy’ and that of ‘2nd order entropy’ captures characteristics that are unique to each music type, style, composer and genre. Some clustering of these properties around each musical category is shown. These methods allow us to visualize a historic trajectory of academic music across this space, from medieval to contemporary academic music. We show that the description of musical structures using entropy, symbol frequency profiles and specific symbolic diversity allows us to characterize traditional and popular expressions of music. These classification techniques promise to be useful in other disciplines for pattern recognition and machine learning. PMID:29040288

Music viewed by its entropy content: A novel window for comparative analysis.

PubMed

Febres, Gerardo; Jaffe, Klaus

2017-01-01

Polyphonic music files were analyzed using the set of symbols that produced the Minimal Entropy Description, which we call the Fundamental Scale. This allowed us to create a novel space to represent music pieces by developing: (a) a method to adjust a textual description from its original scale of observation to an arbitrarily selected scale, (b) a method to model the structure of any textual description based on the shape of the symbol frequency profiles, and (c) the concept of higher order entropy as the entropy associated with the deviations of a frequency-ranked symbol profile from a perfect Zipfian profile. We call this diversity index the '2nd Order Entropy'. Applying these methods to a variety of musical pieces showed how the space of 'symbolic specific diversity-entropy' and that of '2nd order entropy' captures characteristics that are unique to each music type, style, composer and genre. Some clustering of these properties around each musical category is shown. These methods allow us to visualize a historic trajectory of academic music across this space, from medieval to contemporary academic music. We show that the description of musical structures using entropy, symbol frequency profiles and specific symbolic diversity allows us to characterize traditional and popular expressions of music. These classification techniques promise to be useful in other disciplines for pattern recognition and machine learning.

An Analysis of Periodic Components in BL Lac Object S5 0716 +714 with MUSIC Method

NASA Astrophysics Data System (ADS)

Tang, J.

2012-01-01

Multiple signal classification (MUSIC) algorithms are introduced to the estimation of the period of variation of BL Lac objects.The principle of MUSIC spectral analysis method and theoretical analysis of the resolution of frequency spectrum using analog signals are included. From a lot of literatures, we have collected a lot of effective observation data of BL Lac object S5 0716 + 714 in V, R, I bands from 1994 to 2008. The light variation periods of S5 0716 +714 are obtained by means of the MUSIC spectral analysis method and periodogram spectral analysis method. There exist two major periods: (3.33±0.08) years and (1.24±0.01) years for all bands. The estimation of the period of variation of the algorithm based on the MUSIC spectral analysis method is compared with that of the algorithm based on the periodogram spectral analysis method. It is a super-resolution algorithm with small data length, and could be used to detect the period of variation of weak signals.

Towards automatic music transcription: note extraction based on independent subspace analysis

NASA Astrophysics Data System (ADS)

Wellhausen, Jens; Hoynck, Michael

2005-01-01

Due to the increasing amount of music available electronically the need of automatic search, retrieval and classification systems for music becomes more and more important. In this paper an algorithm for automatic transcription of polyphonic piano music into MIDI data is presented, which is a very interesting basis for database applications, music analysis and music classification. The first part of the algorithm performs a note accurate temporal audio segmentation. In the second part, the resulting segments are examined using Independent Subspace Analysis to extract sounding notes. Finally, the results are used to build a MIDI file as a new representation of the piece of music which is examined.

Towards automatic music transcription: note extraction based on independent subspace analysis

NASA Astrophysics Data System (ADS)

Wellhausen, Jens; Höynck, Michael

2004-12-01

Due to the increasing amount of music available electronically the need of automatic search, retrieval and classification systems for music becomes more and more important. In this paper an algorithm for automatic transcription of polyphonic piano music into MIDI data is presented, which is a very interesting basis for database applications, music analysis and music classification. The first part of the algorithm performs a note accurate temporal audio segmentation. In the second part, the resulting segments are examined using Independent Subspace Analysis to extract sounding notes. Finally, the results are used to build a MIDI file as a new representation of the piece of music which is examined.

Music and natural sounds in an auditory steady-state response based brain-computer interface to increase user acceptance.

PubMed

Heo, Jeong; Baek, Hyun Jae; Hong, Seunghyeok; Chang, Min Hye; Lee, Jeong Su; Park, Kwang Suk

2017-05-01

Patients with total locked-in syndrome are conscious; however, they cannot express themselves because most of their voluntary muscles are paralyzed, and many of these patients have lost their eyesight. To improve the quality of life of these patients, there is an increasing need for communication-supporting technologies that leverage the remaining senses of the patient along with physiological signals. The auditory steady-state response (ASSR) is an electro-physiologic response to auditory stimulation that is amplitude-modulated by a specific frequency. By leveraging the phenomenon whereby ASSR is modulated by mind concentration, a brain-computer interface paradigm was proposed to classify the selective attention of the patient. In this paper, we propose an auditory stimulation method to minimize auditory stress by replacing the monotone carrier with familiar music and natural sounds for an ergonomic system. Piano and violin instrumentals were employed in the music sessions; the sounds of water streaming and cicadas singing were used in the natural sound sessions. Six healthy subjects participated in the experiment. Electroencephalograms were recorded using four electrodes (Cz, Oz, T7 and T8). Seven sessions were performed using different stimuli. The spectral power at 38 and 42Hz and their ratio for each electrode were extracted as features. Linear discriminant analysis was utilized to classify the selections for each subject. In offline analysis, the average classification accuracies with a modulation index of 1.0 were 89.67% and 87.67% using music and natural sounds, respectively. In online experiments, the average classification accuracies were 88.3% and 80.0% using music and natural sounds, respectively. Using the proposed method, we obtained significantly higher user-acceptance scores, while maintaining a high average classification accuracy. Copyright © 2017 Elsevier Ltd. All rights reserved.

Multiple Signal Classification for Determining Direction of Arrival of Frequency Hopping Spread Spectrum Signals

DTIC Science & Technology

2014-03-27

42 4.2.3 Number of Hops Hs . . . . . . . . . . . . . . . . . . . . . . . . . 45 4.2.4 Number of Sensors M... 45 4.5 Standard deviation vs. Ns. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46 4.6 Bias...laboratory MTM multiple taper method MUSIC multiple signal classification MVDR minimum variance distortionless reposnse PSK phase shift keying QAM

A single frequency component-based re-estimated MUSIC algorithm for impact localization on complex composite structures

NASA Astrophysics Data System (ADS)

Yuan, Shenfang; Bao, Qiao; Qiu, Lei; Zhong, Yongteng

2015-10-01

The growing use of composite materials on aircraft structures has attracted much attention for impact monitoring as a kind of structural health monitoring (SHM) method. Multiple signal classification (MUSIC)-based monitoring technology is a promising method because of its directional scanning ability and easy arrangement of the sensor array. However, for applications on real complex structures, some challenges still exist. The impact-induced elastic waves usually exhibit a wide-band performance, giving rise to the difficulty in obtaining the phase velocity directly. In addition, composite structures usually have obvious anisotropy, and the complex structural style of real aircrafts further enhances this performance, which greatly reduces the localization precision of the MUSIC-based method. To improve the MUSIC-based impact monitoring method, this paper first analyzes and demonstrates the influence of measurement precision of the phase velocity on the localization results of the MUSIC impact localization method. In order to improve the accuracy of the phase velocity measurement, a single frequency component extraction method is presented. Additionally, a single frequency component-based re-estimated MUSIC (SFCBR-MUSIC) algorithm is proposed to reduce the localization error caused by the anisotropy of the complex composite structure. The proposed method is verified on a real composite aircraft wing box, which has T-stiffeners and screw holes. Three typical categories of 41 impacts are monitored. Experimental results show that the SFCBR-MUSIC algorithm can localize impact on complex composite structures with an obviously improved accuracy.

Emotion recognition based on physiological changes in music listening.

PubMed

Kim, Jonghwa; André, Elisabeth

2008-12-01

Little attention has been paid so far to physiological signals for emotion recognition compared to audiovisual emotion channels such as facial expression or speech. This paper investigates the potential of physiological signals as reliable channels for emotion recognition. All essential stages of an automatic recognition system are discussed, from the recording of a physiological dataset to a feature-based multiclass classification. In order to collect a physiological dataset from multiple subjects over many weeks, we used a musical induction method which spontaneously leads subjects to real emotional states, without any deliberate lab setting. Four-channel biosensors were used to measure electromyogram, electrocardiogram, skin conductivity and respiration changes. A wide range of physiological features from various analysis domains, including time/frequency, entropy, geometric analysis, subband spectra, multiscale entropy, etc., is proposed in order to find the best emotion-relevant features and to correlate them with emotional states. The best features extracted are specified in detail and their effectiveness is proven by classification results. Classification of four musical emotions (positive/high arousal, negative/high arousal, negative/low arousal, positive/low arousal) is performed by using an extended linear discriminant analysis (pLDA). Furthermore, by exploiting a dichotomic property of the 2D emotion model, we develop a novel scheme of emotion-specific multilevel dichotomous classification (EMDC) and compare its performance with direct multiclass classification using the pLDA. Improved recognition accuracy of 95\\% and 70\\% for subject-dependent and subject-independent classification, respectively, is achieved by using the EMDC scheme.

Noise covariance incorporated MEG-MUSIC algorithm: a method for multiple-dipole estimation tolerant of the influence of background brain activity.

PubMed

Sekihara, K; Poeppel, D; Marantz, A; Koizumi, H; Miyashita, Y

1997-09-01

This paper proposes a method of localizing multiple current dipoles from spatio-temporal biomagnetic data. The method is based on the multiple signal classification (MUSIC) algorithm and is tolerant of the influence of background brain activity. In this method, the noise covariance matrix is estimated using a portion of the data that contains noise, but does not contain any signal information. Then, a modified noise subspace projector is formed using the generalized eigenvectors of the noise and measured-data covariance matrices. The MUSIC localizer is calculated using this noise subspace projector and the noise covariance matrix. The results from a computer simulation have verified the effectiveness of the method. The method was then applied to source estimation for auditory-evoked fields elicited by syllable speech sounds. The results strongly suggest the method's effectiveness in removing the influence of background activity.

Investigating the effect of traditional Persian music on ECG signals in young women using wavelet transform and neural networks.

PubMed

Abedi, Behzad; Abbasi, Ataollah; Goshvarpour, Atefeh

2017-05-01

In the past few decades, several studies have reported the physiological effects of listening to music. The physiological effects of different music types on different people are different. In the present study, we aimed to examine the effects of listening to traditional Persian music on electrocardiogram (ECG) signals in young women. Twenty-two healthy females participated in this study. ECG signals were recorded under two conditions: rest and music. For each ECG signal, 20 morphological and wavelet-based features were selected. Artificial neural network (ANN) and probabilistic neural network (PNN) classifiers were used for the classification of ECG signals during and before listening to music. Collected data were separated into two data sets: train and test. Classification accuracies of 88% and 97% were achieved in train data sets using ANN and PNN, respectively. In addition, the test data set was employed for evaluating the classifiers, and classification rates of 84% and 93% were obtained using ANN and PNN, respectively. The present study investigated the effect of music on ECG signals based on wavelet transform and morphological features. The results obtained here can provide a good understanding on the effects of music on ECG signals to researchers.

'I love Rock 'n' Roll'--music genre preference modulates brain responses to music.

PubMed

Istók, Eva; Brattico, Elvira; Jacobsen, Thomas; Ritter, Aileen; Tervaniemi, M

2013-02-01

The present study examined the effect of participants' music genre preference on the neural processes underlying evaluative and cognitive judgements of music using the event-related potential technique. To this aim, two participant groups differing in their preference for Latin American and Heavy Metal music performed a liking judgement and a genre classification task on a variety of excerpts of either music genre. A late positive potential (LPP) was elicited in all conditions between 600 and 900 ms after stimulus onset. During the genre classification task, an early negativity was elicited by the preferred compared to the non-preferred music at around 230-370 ms whereas the non-preferred genre was characterized by a larger LPP. The findings suggest that evaluative and cognitive judgements of music are accompanied by affective responses and that the valence of music may spontaneously modulate early processes of music categorization even when no overt liking judgement is required. Copyright © 2012 Elsevier B.V. All rights reserved.

Cross-classification of musical and vocal emotions in the auditory cortex.

PubMed

Paquette, Sébastien; Takerkart, Sylvain; Saget, Shinji; Peretz, Isabelle; Belin, Pascal

2018-05-09

Whether emotions carried by voice and music are processed by the brain using similar mechanisms has long been investigated. Yet neuroimaging studies do not provide a clear picture, mainly due to lack of control over stimuli. Here, we report a functional magnetic resonance imaging (fMRI) study using comparable stimulus material in the voice and music domains-the Montreal Affective Voices and the Musical Emotional Bursts-which include nonverbal short bursts of happiness, fear, sadness, and neutral expressions. We use a multivariate emotion-classification fMRI analysis involving cross-timbre classification as a means of comparing the neural mechanisms involved in processing emotional information in the two domains. We find, for affective stimuli in the violin, clarinet, or voice timbres, that local fMRI patterns in the bilateral auditory cortex and upper premotor regions support above-chance emotion classification when training and testing sets are performed within the same timbre category. More importantly, classifier performance generalized well across timbre in cross-classifying schemes, albeit with a slight accuracy drop when crossing the voice-music boundary, providing evidence for a shared neural code for processing musical and vocal emotions, with possibly a cost for the voice due to its evolutionary significance. © 2018 New York Academy of Sciences.

Parallel Implementation of the Wideband DOA Algorithm on the IBM Cell BE Processor

DTIC Science & Technology

2010-05-01

Abstract—The Multiple Signal Classification ( MUSIC ) algorithm is a powerful technique for determining the Direction of Arrival (DOA) of signals...Broadband Engine Processor (Cell BE). The process of adapting the serial based MUSIC algorithm to the Cell BE will be analyzed in terms of parallelism and...using Multiple Signal Classification MUSIC algorithm [4] • Computation of Focus matrix • Computation of number of sources • Separation of Signal

Multi-Level and Multi-Scale Feature Aggregation Using Pretrained Convolutional Neural Networks for Music Auto-Tagging

NASA Astrophysics Data System (ADS)

Lee, Jongpil; Nam, Juhan

2017-08-01

Music auto-tagging is often handled in a similar manner to image classification by regarding the 2D audio spectrogram as image data. However, music auto-tagging is distinguished from image classification in that the tags are highly diverse and have different levels of abstractions. Considering this issue, we propose a convolutional neural networks (CNN)-based architecture that embraces multi-level and multi-scaled features. The architecture is trained in three steps. First, we conduct supervised feature learning to capture local audio features using a set of CNNs with different input sizes. Second, we extract audio features from each layer of the pre-trained convolutional networks separately and aggregate them altogether given a long audio clip. Finally, we put them into fully-connected networks and make final predictions of the tags. Our experiments show that using the combination of multi-level and multi-scale features is highly effective in music auto-tagging and the proposed method outperforms previous state-of-the-arts on the MagnaTagATune dataset and the Million Song Dataset. We further show that the proposed architecture is useful in transfer learning.

Multiple Signal Classification for Gravitational Wave Burst Search

NASA Astrophysics Data System (ADS)

Cao, Junwei; He, Zhengqi

2013-01-01

This work is mainly focused on the application of the multiple signal classification (MUSIC) algorithm for gravitational wave burst search. This algorithm extracts important gravitational wave characteristics from signals coming from detectors with arbitrary position, orientation and noise covariance. In this paper, the MUSIC algorithm is described in detail along with the necessary adjustments required for gravitational wave burst search. The algorithm's performance is measured using simulated signals and noise. MUSIC is compared with the Q-transform for signal triggering and with Bayesian analysis for direction of arrival (DOA) estimation, using the Ω-pipeline. Experimental results show that MUSIC has a lower resolution but is faster. MUSIC is a promising tool for real-time gravitational wave search for multi-messenger astronomy.

Statistical universals reveal the structures and functions of human music.

PubMed

Savage, Patrick E; Brown, Steven; Sakai, Emi; Currie, Thomas E

2015-07-21

Music has been called "the universal language of mankind." Although contemporary theories of music evolution often invoke various musical universals, the existence of such universals has been disputed for decades and has never been empirically demonstrated. Here we combine a music-classification scheme with statistical analyses, including phylogenetic comparative methods, to examine a well-sampled global set of 304 music recordings. Our analyses reveal no absolute universals but strong support for many statistical universals that are consistent across all nine geographic regions sampled. These universals include 18 musical features that are common individually as well as a network of 10 features that are commonly associated with one another. They span not only features related to pitch and rhythm that are often cited as putative universals but also rarely cited domains including performance style and social context. These cross-cultural structural regularities of human music may relate to roles in facilitating group coordination and cohesion, as exemplified by the universal tendency to sing, play percussion instruments, and dance to simple, repetitive music in groups. Our findings highlight the need for scientists studying music evolution to expand the range of musical cultures and musical features under consideration. The statistical universals we identified represent important candidates for future investigation.

Statistical universals reveal the structures and functions of human music

PubMed Central

Savage, Patrick E.; Brown, Steven; Sakai, Emi; Currie, Thomas E.

2015-01-01

Music has been called “the universal language of mankind.” Although contemporary theories of music evolution often invoke various musical universals, the existence of such universals has been disputed for decades and has never been empirically demonstrated. Here we combine a music-classification scheme with statistical analyses, including phylogenetic comparative methods, to examine a well-sampled global set of 304 music recordings. Our analyses reveal no absolute universals but strong support for many statistical universals that are consistent across all nine geographic regions sampled. These universals include 18 musical features that are common individually as well as a network of 10 features that are commonly associated with one another. They span not only features related to pitch and rhythm that are often cited as putative universals but also rarely cited domains including performance style and social context. These cross-cultural structural regularities of human music may relate to roles in facilitating group coordination and cohesion, as exemplified by the universal tendency to sing, play percussion instruments, and dance to simple, repetitive music in groups. Our findings highlight the need for scientists studying music evolution to expand the range of musical cultures and musical features under consideration. The statistical universals we identified represent important candidates for future investigation. PMID:26124105

Simulated bi-SQUID Arrays Performing Direction Finding

DTIC Science & Technology

2015-09-01

First, we applied the multiple signal classification ( MUSIC ) algorithm on linearly polarized signals. We included multiple signals in the output...both of the same frequency and different fre- quencies. Next, we explored a modified MUSIC algorithm called dimensionality reduction MUSIC (DR- MUSIC ... MUSIC algorithm is able to determine the AoA from the simulated SQUID data for linearly polarized signals. The MUSIC algorithm could accurately find

Pitch and time, tonality and meter: how do musical dimensions combine?

PubMed

Prince, Jon B; Thompson, William F; Schmuckler, Mark A

2009-10-01

The authors examined how the structural attributes of tonality and meter influence musical pitch-time relations. Listeners heard a musical context followed by probe events that varied in pitch class and temporal position. Tonal and metric hierarchies contributed additively to the goodness-of-fit of probes, with pitch class exerting a stronger influence than temporal position (Experiment 1), even when listeners attempted to ignore pitch (Experiment 2). Speeded classification tasks confirmed this asymmetry. Temporal classification was biased by tonal stability (Experiment 3), but pitch classification was unaffected by temporal position (Experiment 4). Experiments 5 and 6 ruled out explanations based on the presence of pitch classes and temporal positions in the context, unequal stimulus quantity, and discriminability. The authors discuss how typical Western music biases attention toward pitch and distinguish between dimensional discriminability and salience. PsycINFO Database Record (c) 2009 APA, all rights reserved.

Highlight summarization in golf videos using audio signals

NASA Astrophysics Data System (ADS)

Kim, Hyoung-Gook; Kim, Jin Young

2008-01-01

In this paper, we present an automatic summarization of highlights in golf videos based on audio information alone without video information. The proposed highlight summarization system is carried out based on semantic audio segmentation and detection on action units from audio signals. Studio speech, field speech, music, and applause are segmented by means of sound classification. Swing is detected by the methods of impulse onset detection. Sounds like swing and applause form a complete action unit, while studio speech and music parts are used to anchor the program structure. With the advantage of highly precise detection of applause, highlights are extracted effectively. Our experimental results obtain high classification precision on 18 golf games. It proves that the proposed system is very effective and computationally efficient to apply the technology to embedded consumer electronic devices.

Improving Music Mood Classification Using Lyrics, Audio and Social Tags

ERIC Educational Resources Information Center

Hu, Xiao

2010-01-01

The affective aspect of music (popularly known as music mood) is a newly emerging metadata type and access point to music information, but it has not been well studied in information science. There has yet to be developed a suitable set of mood categories that can reflect the reality of music listening and can be well adopted in the Music…

A new MUSIC electromagnetic imaging method with enhanced resolution for small inclusions

NASA Astrophysics Data System (ADS)

Zhong, Yu; Chen, Xudong

2008-11-01

This paper investigates the influence of test dipole on the resolution of the multiple signal classification (MUSIC) imaging method applied to the electromagnetic inverse scattering problem of determining the locations of a collection of small objects embedded in a known background medium. Based on the analysis of the induced electric dipoles in eigenstates, an algorithm is proposed to determine the test dipole that generates a pseudo-spectrum with enhanced resolution. The amplitudes in three directions of the optimal test dipole are not necessarily in phase, i.e., the optimal test dipole may not correspond to a physical direction in the real three-dimensional space. In addition, the proposed test-dipole-searching algorithm is able to deal with some special scenarios, due to the shapes and materials of objects, to which the standard MUSIC doesn't apply.

A non-contact method based on multiple signal classification algorithm to reduce the measurement time for accurately heart rate detection

NASA Astrophysics Data System (ADS)

Bechet, P.; Mitran, R.; Munteanu, M.

2013-08-01

Non-contact methods for the assessment of vital signs are of great interest for specialists due to the benefits obtained in both medical and special applications, such as those for surveillance, monitoring, and search and rescue. This paper investigates the possibility of implementing a digital processing algorithm based on the MUSIC (Multiple Signal Classification) parametric spectral estimation in order to reduce the observation time needed to accurately measure the heart rate. It demonstrates that, by proper dimensioning the signal subspace, the MUSIC algorithm can be optimized in order to accurately assess the heart rate during an 8-28 s time interval. The validation of the processing algorithm performance was achieved by minimizing the mean error of the heart rate after performing simultaneous comparative measurements on several subjects. In order to calculate the error the reference value of heart rate was measured using a classic measurement system through direct contact.

Music algorithm for imaging of a sound-hard arc in limited-view inverse scattering problem

NASA Astrophysics Data System (ADS)

Park, Won-Kwang

2017-07-01

MUltiple SIgnal Classification (MUSIC) algorithm for a non-iterative imaging of sound-hard arc in limited-view inverse scattering problem is considered. In order to discover mathematical structure of MUSIC, we derive a relationship between MUSIC and an infinite series of Bessel functions of integer order. This structure enables us to examine some properties of MUSIC in limited-view problem. Numerical simulations are performed to support the identified structure of MUSIC.

Polarization Smoothing Generalized MUSIC Algorithm with Polarization Sensitive Array for Low Angle Estimation.

PubMed

Tan, Jun; Nie, Zaiping

2018-05-12

Direction of Arrival (DOA) estimation of low-altitude targets is difficult due to the multipath coherent interference from the ground reflection image of the targets, especially for very high frequency (VHF) radars, which have antennae that are severely restricted in terms of aperture and height. The polarization smoothing generalized multiple signal classification (MUSIC) algorithm, which combines polarization smoothing and generalized MUSIC algorithm for polarization sensitive arrays (PSAs), was proposed to solve this problem in this paper. Firstly, the polarization smoothing pre-processing was exploited to eliminate the coherence between the direct and the specular signals. Secondly, we constructed the generalized MUSIC algorithm for low angle estimation. Finally, based on the geometry information of the symmetry multipath model, the proposed algorithm was introduced to convert the two-dimensional searching into one-dimensional searching, thus reducing the computational burden. Numerical results were provided to verify the effectiveness of the proposed method, showing that the proposed algorithm has significantly improved angle estimation performance in the low-angle area compared with the available methods, especially when the grazing angle is near zero.

Direct Position Determination of Unknown Signals in the Presence of Multipath Propagation

PubMed Central

Yu, Hongyi

2018-01-01

A novel geolocation architecture, termed “Multiple Transponders and Multiple Receivers for Multiple Emitters Positioning System (MTRE)” is proposed in this paper. Existing Direct Position Determination (DPD) methods take advantage of a rather simple channel assumption (line of sight channels with complex path attenuations) and a simplified MUltiple SIgnal Classification (MUSIC) algorithm cost function to avoid the high dimension searching. We point out that the simplified assumption and cost function reduce the positioning accuracy because of the singularity of the array manifold in a multi-path environment. We present a DPD model for unknown signals in the presence of Multi-path Propagation (MP-DPD) in this paper. MP-DPD adds non-negative real path attenuation constraints to avoid the mistake caused by the singularity of the array manifold. The Multi-path Propagation MUSIC (MP-MUSIC) method and the Active Set Algorithm (ASA) are designed to reduce the dimension of searching. A Multi-path Propagation Maximum Likelihood (MP-ML) method is proposed in addition to overcome the limitation of MP-MUSIC in the sense of a time-sensitive application. An iterative algorithm and an approach of initial value setting are given to make the MP-ML time consumption acceptable. Numerical results validate the performances improvement of MP-MUSIC and MP-ML. A closed form of the Cramér–Rao Lower Bound (CRLB) is derived as a benchmark to evaluate the performances of MP-MUSIC and MP-ML. PMID:29562601

Direct Position Determination of Unknown Signals in the Presence of Multipath Propagation.

PubMed

Du, Jianping; Wang, Ding; Yu, Wanting; Yu, Hongyi

2018-03-17

A novel geolocation architecture, termed "Multiple Transponders and Multiple Receivers for Multiple Emitters Positioning System (MTRE)" is proposed in this paper. Existing Direct Position Determination (DPD) methods take advantage of a rather simple channel assumption (line of sight channels with complex path attenuations) and a simplified MUltiple SIgnal Classification (MUSIC) algorithm cost function to avoid the high dimension searching. We point out that the simplified assumption and cost function reduce the positioning accuracy because of the singularity of the array manifold in a multi-path environment. We present a DPD model for unknown signals in the presence of Multi-path Propagation (MP-DPD) in this paper. MP-DPD adds non-negative real path attenuation constraints to avoid the mistake caused by the singularity of the array manifold. The Multi-path Propagation MUSIC (MP-MUSIC) method and the Active Set Algorithm (ASA) are designed to reduce the dimension of searching. A Multi-path Propagation Maximum Likelihood (MP-ML) method is proposed in addition to overcome the limitation of MP-MUSIC in the sense of a time-sensitive application. An iterative algorithm and an approach of initial value setting are given to make the MP-ML time consumption acceptable. Numerical results validate the performances improvement of MP-MUSIC and MP-ML. A closed form of the Cramér-Rao Lower Bound (CRLB) is derived as a benchmark to evaluate the performances of MP-MUSIC and MP-ML.

Feasibility of the MUSIC Algorithm for the Active Protection System

DTIC Science & Technology

2001-03-01

Feasibility of the MUSIC Algorithm for the Active Protection System ARL-MR-501 March 2001 Canh Ly Approved for public release; distribution... MUSIC Algorithm for the Active Protection System Canh Ly Sensors and Electron Devices Directorate Approved for public release; distribution unlimited...This report compares the accuracy of the doppler frequency of an incoming projectile with the use of the MUSIC (multiple signal classification

Joint Sparse Recovery With Semisupervised MUSIC

NASA Astrophysics Data System (ADS)

Wen, Zaidao; Hou, Biao; Jiao, Licheng

2017-05-01

Discrete multiple signal classification (MUSIC) with its low computational cost and mild condition requirement becomes a significant noniterative algorithm for joint sparse recovery (JSR). However, it fails in rank defective problem caused by coherent or limited amount of multiple measurement vectors (MMVs). In this letter, we provide a novel sight to address this problem by interpreting JSR as a binary classification problem with respect to atoms. Meanwhile, MUSIC essentially constructs a supervised classifier based on the labeled MMVs so that its performance will heavily depend on the quality and quantity of these training samples. From this viewpoint, we develop a semisupervised MUSIC (SS-MUSIC) in the spirit of machine learning, which declares that the insufficient supervised information in the training samples can be compensated from those unlabeled atoms. Instead of constructing a classifier in a fully supervised manner, we iteratively refine a semisupervised classifier by exploiting the labeled MMVs and some reliable unlabeled atoms simultaneously. Through this way, the required conditions and iterations can be greatly relaxed and reduced. Numerical experimental results demonstrate that SS-MUSIC can achieve much better recovery performances than other MUSIC extended algorithms as well as some typical greedy algorithms for JSR in terms of iterations and recovery probability.

Development of Parallel Architectures for Sensor Array Processing. Volume 1

DTIC Science & Technology

1993-08-01

required for the DOA estimation [ 1-7]. The Multiple Signal Classification ( MUSIC ) [ 1] and the Estimation of Signal Parameters by Rotational...manifold and the estimated subspace. Although MUSIC is a high resolution algorithm, it has several drawbacks including the fact that complete knowledge of...thoroughly, MUSIC algorithm was selected to develop special purpose hardware for real time computation. Summary of the MUSIC algorithm is as follows

Improvement of range spatial resolution of medical ultrasound imaging by element-domain signal processing

NASA Astrophysics Data System (ADS)

Hasegawa, Hideyuki

2017-07-01

The range spatial resolution is an important factor determining the image quality in ultrasonic imaging. The range spatial resolution in ultrasonic imaging depends on the ultrasonic pulse length, which is determined by the mechanical response of the piezoelectric element in an ultrasonic probe. To improve the range spatial resolution without replacing the transducer element, in the present study, methods based on maximum likelihood (ML) estimation and multiple signal classification (MUSIC) were proposed. The proposed methods were applied to echo signals received by individual transducer elements in an ultrasonic probe. The basic experimental results showed that the axial half maximum of the echo from a string phantom was improved from 0.21 mm (conventional method) to 0.086 mm (ML) and 0.094 mm (MUSIC).

Weighted minimum-norm source estimation of magnetoencephalography utilizing the temporal information of the measured data

NASA Astrophysics Data System (ADS)

Iwaki, Sunao; Ueno, Shoogo

1998-06-01

The weighted minimum-norm estimation (wMNE) is a popular method to obtain the source distribution in the human brain from magneto- and electro- encephalograpic measurements when detailed information about the generator profile is not available. We propose a method to reconstruct current distributions in the human brain based on the wMNE technique with the weighting factors defined by a simplified multiple signal classification (MUSIC) prescanning. In this method, in addition to the conventional depth normalization technique, weighting factors of the wMNE were determined by the cost values previously calculated by a simplified MUSIC scanning which contains the temporal information of the measured data. We performed computer simulations of this method and compared it with the conventional wMNE method. The results show that the proposed method is effective for the reconstruction of the current distributions from noisy data.

High resolution through-the-wall radar image based on beamspace eigenstructure subspace methods

NASA Astrophysics Data System (ADS)

Yoon, Yeo-Sun; Amin, Moeness G.

2008-04-01

Through-the-wall imaging (TWI) is a challenging problem, even if the wall parameters and characteristics are known to the system operator. Proper target classification and correct imaging interpretation require the application of high resolution techniques using limited array size. In inverse synthetic aperture radar (ISAR), signal subspace methods such as Multiple Signal Classification (MUSIC) are used to obtain high resolution imaging. In this paper, we adopt signal subspace methods and apply them to the 2-D spectrum obtained from the delay-andsum beamforming image. This is in contrast to ISAR, where raw data, in frequency and angle, is directly used to form the estimate of the covariance matrix and array response vector. Using beams rather than raw data has two main advantages, namely, it improves the signal-to-noise ratio (SNR) and can correctly image typical indoor extended targets, such as tables and cabinets, as well as point targets. The paper presents both simulated and experimental results using synthesized and real data. It compares the performance of beam-space MUSIC and Capon beamformer. The experimental data is collected at the test facility in the Radar Imaging Laboratory, Villanova University.

Music psychopathology. III. Musical expression and psychiatric disease.

PubMed

Steinberg, R; Raith, L; Rossnagl, G; Eben, E

1985-01-01

Musical expression of the instrumental playing of 61 mentally ill patients and 29 controls recorded several times was assessed by means of a short polarity profile. The performances were reversibly impaired in correlation with the psychopathology. Musical expression followed a systematic variation according to nosological classification. Endogenous-depressive patients could be clearly distinguished from neurotic-depressive patients due to weakened motoric qualities in their playing. In schizophrenia, motoricity did not seem to be so much involved, although the performances were altered in the dimension of musical logic and order. Maniform syndromes had the least effect on musical expression.

Classification of High and Low Achievers in a Music Sight-Reading Task

ERIC Educational Resources Information Center

Kopiez, Reinhard; Weihs, Claus; Ligges, Uwe; Lee, Ji In

2006-01-01

The unrehearsed performance of music, called "sight-reading" (SR), is a basic skill for all musicians. It is of particular interest for musical occupations such as the piano accompanist, the conductor, or the correpetiteur. However, up until now, there is no theory of SR which considers all relevant factors such as practice-related…

Prewhitening of Colored Noise Fields for Detection of Threshold Sources

DTIC Science & Technology

1993-11-07

determines the noise covariance matrix, prewhitening techniques allow detection of threshold sources. The multiple signal classification ( MUSIC ...SUBJECT TERMS 1S. NUMBER OF PAGES AR Model, Colored Noise Field, Mixed Spectra Model, MUSIC , Noise Field, 52 Prewhitening, SNR, Standardized Test...EXAMPLE 2: COMPLEX AR COEFFICIENT .............................................. 5 EXAMPLE 3: MUSIC IN A COLORED BACKGROUND NOISE ...................... 6

MUSIC electromagnetic imaging with enhanced resolution for small inclusions

NASA Astrophysics Data System (ADS)

Chen, Xudong; Zhong, Yu

2009-01-01

This paper investigates the influence of the test dipole on the resolution of the multiple signal classification (MUSIC) imaging method applied to the electromagnetic inverse scattering problem of determining the locations of a collection of small objects embedded in a known background medium. Based on the analysis of the induced electric dipoles in eigenstates, an algorithm is proposed to determine the test dipole that generates a pseudo-spectrum with enhanced resolution. The amplitudes in three directions of the optimal test dipole are not necessarily in phase, i.e., the optimal test dipole may not correspond to a physical direction in the real three-dimensional space. In addition, the proposed test-dipole-searching algorithm is able to deal with some special scenarios, due to the shapes and materials of objects, to which the standard MUSIC does not apply.

Speech Enhancement based on the Dominant Classification Between Speech and Noise Using Feature Data in Spectrogram of Observation Signal

NASA Astrophysics Data System (ADS)

Nomura, Yukihiro; Lu, Jianming; Sekiya, Hiroo; Yahagi, Takashi

This paper presents a speech enhancement using the classification between the dominants of speech and noise. In our system, a new classification scheme between the dominants of speech and noise is proposed. The proposed classifications use the standard deviation of the spectrum of observation signal in each band. We introduce two oversubtraction factors for the dominants of speech and noise, respectively. And spectral subtraction is carried out after the classification. The proposed method is tested on several noise types from the Noisex-92 database. From the investigation of segmental SNR, Itakura-Saito distance measure, inspection of spectrograms and listening tests, the proposed system is shown to be effective to reduce background noise. Moreover, the enhanced speech using our system generates less musical noise and distortion than that of conventional systems.

Impact localization on composite structures using time difference and MUSIC approach

NASA Astrophysics Data System (ADS)

Zhong, Yongteng; Xiang, Jiawei

2017-05-01

1-D uniform linear array (ULA) has the shortcoming of the half-plane mirror effect, which does not allow discriminating between a target placed above the array and a target placed below the array. This paper presents time difference (TD) and multiple signal classification (MUSIC) based omni-directional impact localization on a large stiffened composite structure using improved linear array, which is able to perform omni-directional 360° localization. This array contains 2M+3 PZT sensors, where 2M+1 PZT sensors are arranged as a uniform linear array, and the other two PZT sensors are placed above and below the array. Firstly, the arrival times of impact signals observed by the other two sensors are determined using the wavelet transform. Compared with each other, the direction range of impact source can be decided in general, 0°to 180° or 180°to 360°. And then, two dimensional multiple signal classification (2D-MUSIC) based spatial spectrum formula using the uniform linear array is applied for impact localization by the general direction range. When the arrival times of impact signals observed by upper PZT is equal to that of lower PZT, the direction can be located in x axis (0°or 180°). And time difference based MUSIC method is present to locate impact position. To verify the proposed approach, the proposed approach is applied to a composite structure. The localization results are in good agreement with the actual impact occurring positions.

Systolic Signal Processor/High Frequency Direction Finding

DTIC Science & Technology

1990-10-01

MUSIC ) algorithm and the finite impulse response (FIR) filter onto the testbed hardware was supported by joint sponsorship of the block and major bid...computational throughput. The systolic implementations of a four-channel finite impulse response (FIR) filter and multiple signal classification ( MUSIC ... MUSIC ) algorithm was mated to a bank of finite impulse response (FIR) filters and a four-channel data acquisition subsystem. A complete description

Automatic stress-relieving music recommendation system based on photoplethysmography-derived heart rate variability analysis.

PubMed

Shin, Il-Hyung; Cha, Jaepyeong; Cheon, Gyeong Woo; Lee, Choonghee; Lee, Seung Yup; Yoon, Hyung-Jin; Kim, Hee Chan

2014-01-01

This paper presents an automatic stress-relieving music recommendation system (ASMRS) for individual music listeners. The ASMRS uses a portable, wireless photoplethysmography module with a finger-type sensor, and a program that translates heartbeat signals from the sensor to the stress index. The sympathovagal balance index (SVI) was calculated from heart rate variability to assess the user's stress levels while listening to music. Twenty-two healthy volunteers participated in the experiment. The results have shown that the participants' SVI values are highly correlated with their prespecified music preferences. The sensitivity and specificity of the favorable music classification also improved as the number of music repetitions increased to 20 times. Based on the SVI values, the system automatically recommends favorable music lists to relieve stress for individuals.

Emotions evoked by the sound of music: characterization, classification, and measurement.

PubMed

Zentner, Marcel; Grandjean, Didier; Scherer, Klaus R

2008-08-01

One reason for the universal appeal of music lies in the emotional rewards that music offers to its listeners. But what makes these rewards so special? The authors addressed this question by progressively characterizing music-induced emotions in 4 interrelated studies. Studies 1 and 2 (n=354) were conducted to compile a list of music-relevant emotion terms and to study the frequency of both felt and perceived emotions across 5 groups of listeners with distinct music preferences. Emotional responses varied greatly according to musical genre and type of response (felt vs. perceived). Study 3 (n=801)--a field study carried out during a music festival--examined the structure of music-induced emotions via confirmatory factor analysis of emotion ratings, resulting in a 9-factorial model of music-induced emotions. Study 4 (n=238) replicated this model and found that it accounted for music-elicited emotions better than the basic emotion and dimensional emotion models. A domain-specific device to measure musically induced emotions is introduced--the Geneva Emotional Music Scale.

Detecting signatures of positive selection associated with musical aptitude in the human genome

PubMed Central

Liu, Xuanyao; Kanduri, Chakravarthi; Oikkonen, Jaana; Karma, Kai; Raijas, Pirre; Ukkola-Vuoti, Liisa; Teo, Yik-Ying; Järvelä, Irma

2016-01-01

Abilities related to musical aptitude appear to have a long history in human evolution. To elucidate the molecular and evolutionary background of musical aptitude, we compared genome-wide genotyping data (641 K SNPs) of 148 Finnish individuals characterized for musical aptitude. We assigned signatures of positive selection in a case-control setting using three selection methods: haploPS, XP-EHH and FST. Gene ontology classification revealed that the positive selection regions contained genes affecting inner-ear development. Additionally, literature survey has shown that several of the identified genes were known to be involved in auditory perception (e.g. GPR98, USH2A), cognition and memory (e.g. GRIN2B, IL1A, IL1B, RAPGEF5), reward mechanisms (RGS9), and song perception and production of songbirds (e.g. FOXP1, RGS9, GPR98, GRIN2B). Interestingly, genes related to inner-ear development and cognition were also detected in a previous genome-wide association study of musical aptitude. However, the candidate genes detected in this study were not reported earlier in studies of musical abilities. Identification of genes related to language development (FOXP1 and VLDLR) support the popular hypothesis that music and language share a common genetic and evolutionary background. The findings are consistent with the evolutionary conservation of genes related to auditory processes in other species and provide first empirical evidence for signatures of positive selection for abilities that contribute to musical aptitude. PMID:26879527

Detecting signatures of positive selection associated with musical aptitude in the human genome.

PubMed

Liu, Xuanyao; Kanduri, Chakravarthi; Oikkonen, Jaana; Karma, Kai; Raijas, Pirre; Ukkola-Vuoti, Liisa; Teo, Yik-Ying; Järvelä, Irma

2016-02-16

Abilities related to musical aptitude appear to have a long history in human evolution. To elucidate the molecular and evolutionary background of musical aptitude, we compared genome-wide genotyping data (641 K SNPs) of 148 Finnish individuals characterized for musical aptitude. We assigned signatures of positive selection in a case-control setting using three selection methods: haploPS, XP-EHH and FST. Gene ontology classification revealed that the positive selection regions contained genes affecting inner-ear development. Additionally, literature survey has shown that several of the identified genes were known to be involved in auditory perception (e.g. GPR98, USH2A), cognition and memory (e.g. GRIN2B, IL1A, IL1B, RAPGEF5), reward mechanisms (RGS9), and song perception and production of songbirds (e.g. FOXP1, RGS9, GPR98, GRIN2B). Interestingly, genes related to inner-ear development and cognition were also detected in a previous genome-wide association study of musical aptitude. However, the candidate genes detected in this study were not reported earlier in studies of musical abilities. Identification of genes related to language development (FOXP1 and VLDLR) support the popular hypothesis that music and language share a common genetic and evolutionary background. The findings are consistent with the evolutionary conservation of genes related to auditory processes in other species and provide first empirical evidence for signatures of positive selection for abilities that contribute to musical aptitude.

Direction of Arrival Estimation with a Novel Single-Port Smart Antenna

NASA Astrophysics Data System (ADS)

Sun, Chen; Karmakar, Nemai C.

2004-12-01

A novel direction of arrival (DOA) estimation technique that uses the conventional multiple-signal classification (MUSIC) algorithm with periodic signals is applied to a single-port smart antenna. Results show that the proposed method gives a high-resolution (1 degree) DOA estimation in an uncorrelated signal environment. The novelty lies in that the MUSIC algorithm is applied to a simplified antenna configuration. Only 1 analogue-to-digital converter (ADC) is used in this antenna, which features low power consumption, low cost, and ease of fabrication. Modifications to the conventional MUSIC algorithm do not bring much additional complexity. The proposed technique is also free from the negative influence by the mutual coupling among antenna elements. Therefore, it offers an economical way to extensively implement smart antennas into the existing wireless mobile communications systems, especially at the power consumption limited mobile terminals such as laptops in wireless networks.

Time-reversal MUSIC imaging of extended targets.

PubMed

Marengo, Edwin A; Gruber, Fred K; Simonetti, Francesco

2007-08-01

This paper develops, within a general framework that is applicable to rather arbitrary electromagnetic and acoustic remote sensing systems, a theory of time-reversal "MUltiple Signal Classification" (MUSIC)-based imaging of extended (nonpoint-like) scatterers (targets). The general analysis applies to arbitrary remote sensing geometry and sheds light onto how the singular system of the scattering matrix relates to the geometrical and propagation characteristics of the entire transmitter-target-receiver system and how to use this effect for imaging. All the developments are derived within exact scattering theory which includes multiple scattering effects. The derived time-reversal MUSIC methods include both interior sampling, as well as exterior sampling (or enclosure) approaches. For presentation simplicity, particular attention is given to the time-harmonic case where the informational wave modes employed for target interrogation are purely spatial, but the corresponding generalization to broadband fields is also given. This paper includes computer simulations illustrating the derived theory and algorithms.

Access to patents as sources to musical acoustics inventions

NASA Astrophysics Data System (ADS)

Brock-Nannestad, George

2005-09-01

Patents are important sources for the development of any technology. The paper addresses modern methods of access to patent publications relating to musical acoustics, in particular the constructions of instruments and components for instruments, methods for tuning, methods for teaching, and measuring equipment. The patent publications available are, among others, from the U.S., England, France, Germany, Japan, Russia, and the date range is from ca. 1880 to the present day. The two main searchable websites use different classification systems in their approach, and by suitable combination of the information it is possible to target the search efficiently. The paper will demonstrate the recent transfer of inventions relating to physical instruments to electronic simulations, and the fact that most recent inventions were made by independent inventors. A specific example is given by discussing the proposals for improved pipe organ and violin constructions invented in Denmark in the 1930s by Jarnak based on patented improvements for telephone reproducers.

On using the Multiple Signal Classification algorithm to study microbaroms

NASA Astrophysics Data System (ADS)

Marcillo, O. E.; Blom, P. S.; Euler, G. G.

2016-12-01

Multiple Signal Classification (MUSIC) (Schmidt, 1986) is a well-known high-resolution algorithm used in array processing for parameter estimation. We report on the application of MUSIC to infrasonic array data in a study of the structure of microbaroms. Microbaroms can be globally observed and display energy centered around 0.2 Hz. Microbaroms are an infrasonic signal generated by the non-linear interaction of ocean surface waves that radiate into the ocean and atmosphere as well as the solid earth in the form of microseisms. Microbaroms sources are dynamic and, in many cases, distributed in space and moving in time. We assume that the microbarom energy detected by an infrasonic array is the result of multiple sources (with different back-azimuths) in the same bandwidth and apply the MUSIC algorithm accordingly to recover the back-azimuth and trace velocity of the individual components. Preliminary results show that the multiple component assumption in MUSIC allows one to resolve the fine structure in the microbarom band that can be related to multiple ocean surface phenomena.

A Simple Probabilistic Approach to Classification and Routing

DTIC Science & Technology

1996-05-01

music passage has many music related words such as ’studio’, ’ album ’, ’disc’, and ’record’, and the sports passage has many sports...about music , even though the word ’ music ’ is not in the passage. Similarly, most people can tell that the second passage is from a sports article, even...though the word ’sport’ is never mentioned. "Before the release of his last studio album , 1993’s ’Ten Summoner’s Tales’, Sting commented that

MUSIC-type imaging of small perfectly conducting cracks with an unknown frequency

NASA Astrophysics Data System (ADS)

Park, Won-Kwang

2015-09-01

MUltiple SIgnal Classification (MUSIC) is a famous non-iterative detection algorithm in inverse scattering problems. However, when the applied frequency is unknown, inaccurate locations are identified via MUSIC. This fact has been confirmed through numerical simulations. However, the reason behind this phenomenon has not been investigated theoretically. Motivated by this fact, we identify the structure of MUSIC-type imaging functionals with unknown frequency, by establishing a relationship with Bessel functions of order zero of the first kind. Through this, we can explain why inaccurate results appear.

A necessary condition for applying MUSIC algorithm in limited-view inverse scattering problem

NASA Astrophysics Data System (ADS)

Park, Taehoon; Park, Won-Kwang

2015-09-01

Throughout various results of numerical simulations, it is well-known that MUltiple SIgnal Classification (MUSIC) algorithm can be applied in the limited-view inverse scattering problems. However, the application is somehow heuristic. In this contribution, we identify a necessary condition of MUSIC for imaging of collection of small, perfectly conducting cracks. This is based on the fact that MUSIC imaging functional can be represented as an infinite series of Bessel function of integer order of the first kind. Numerical experiments from noisy synthetic data supports our investigation.

Estimation of Target Angular Position Under Mainbeam Jamming Conditions,

DTIC Science & Technology

1995-12-01

technique, Multiple Signal Classification ( MUSIC ), is used to estimate the target Direction Of Arrival (DOA) from the processed data vectors. The model...used in the MUSIC technique takes into account the fact that the jammer has been cancelled in the target data vector. The performance of this algorithm

Negative Mood State Enhances the Susceptibility to Unpleasant Events: Neural Correlates from a Music-Primed Emotion Classification Task

PubMed Central

Yuan, Jiajin; Chen, Jie; Yang, Jiemin; Ju, Enxia; Norman, Greg J.; Ding, Nanxiang

2014-01-01

Background Various affective disorders are linked with enhanced processing of unpleasant stimuli. However, this link is likely a result of the dominant negative mood derived from the disorder, rather than a result of the disorder itself. Additionally, little is currently known about the influence of mood on the susceptibility to emotional events in healthy populations. Method Event-Related Potentials (ERP) were recorded for pleasant, neutral and unpleasant pictures while subjects performed an emotional/neutral picture classification task during positive, neutral, or negative mood induced by instrumental Chinese music. Results Late Positive Potential (LPP) amplitudes were positively related to the affective arousal of pictures. The emotional responding to unpleasant pictures, indicated by the unpleasant-neutral differences in LPPs, was enhanced during negative compared to neutral and positive moods in the entire LPP time window (600–1000 ms). The magnitude of this enhancement was larger with increasing self-reported negative mood. In contrast, this responding was reduced during positive compared to neutral mood in the 800–1000 ms interval. Additionally, LPP reactions to pleasant stimuli were similar across positive, neutral and negative moods except those in the 800–900 ms interval. Implications Negative mood intensifies the humans' susceptibility to unpleasant events in healthy individuals. In contrast, music-induced happy mood is effective in reducing the susceptibility to these events. Practical implications of these findings were discussed. PMID:24587070

MUSIC-Expected maximization gaussian mixture methodology for clustering and detection of task-related neuronal firing rates.

PubMed

Ortiz-Rosario, Alexis; Adeli, Hojjat; Buford, John A

2017-01-15

Researchers often rely on simple methods to identify involvement of neurons in a particular motor task. The historical approach has been to inspect large groups of neurons and subjectively separate neurons into groups based on the expertise of the investigator. In cases where neuron populations are small it is reasonable to inspect these neuronal recordings and their firing rates carefully to avoid data omissions. In this paper, a new methodology is presented for automatic objective classification of neurons recorded in association with behavioral tasks into groups. By identifying characteristics of neurons in a particular group, the investigator can then identify functional classes of neurons based on their relationship to the task. The methodology is based on integration of a multiple signal classification (MUSIC) algorithm to extract relevant features from the firing rate and an expectation-maximization Gaussian mixture algorithm (EM-GMM) to cluster the extracted features. The methodology is capable of identifying and clustering similar firing rate profiles automatically based on specific signal features. An empirical wavelet transform (EWT) was used to validate the features found in the MUSIC pseudospectrum and the resulting signal features captured by the methodology. Additionally, this methodology was used to inspect behavioral elements of neurons to physiologically validate the model. This methodology was tested using a set of data collected from awake behaving non-human primates. Copyright © 2016 Elsevier B.V. All rights reserved.

Detecting breast microcalcifications using super-resolution ultrasound imaging: a clinical study

NASA Astrophysics Data System (ADS)

Huang, Lianjie; Labyed, Yassin; Hanson, Kenneth; Sandoval, Daniel; Pohl, Jennifer; Williamson, Michael

2013-03-01

Imaging breast microcalcifications is crucial for early detection and diagnosis of breast cancer. It is challenging for current clinical ultrasound to image breast microcalcifications. However, new imaging techniques using data acquired with a synthetic-aperture ultrasound system have the potential to significantly improve ultrasound imaging. We recently developed a super-resolution ultrasound imaging method termed the phase-coherent multiple-signal classification (PC-MUSIC). This signal subspace method accounts for the phase response of transducer elements to improve image resolution. In this paper, we investigate the clinical feasibility of our super-resolution ultrasound imaging method for detecting breast microcalcifications. We use our custom-built, real-time synthetic-aperture ultrasound system to acquire breast ultrasound data for 40 patients whose mammograms show the presence of breast microcalcifications. We apply our super-resolution ultrasound imaging method to the patient data, and produce clear images of breast calcifications. Our super-resolution ultrasound PC-MUSIC imaging with synthetic-aperture ultrasound data can provide a new imaging modality for detecting breast microcalcifications in clinic without using ionizing radiation.

Neural Entrainment to Auditory Imagery of Rhythms.

PubMed

Okawa, Haruki; Suefusa, Kaori; Tanaka, Toshihisa

2017-01-01

A method of reconstructing perceived or imagined music by analyzing brain activity has not yet been established. As a first step toward developing such a method, we aimed to reconstruct the imagery of rhythm, which is one element of music. It has been reported that a periodic electroencephalogram (EEG) response is elicited while a human imagines a binary or ternary meter on a musical beat. However, it is not clear whether or not brain activity synchronizes with fully imagined beat and meter without auditory stimuli. To investigate neural entrainment to imagined rhythm during auditory imagery of beat and meter, we recorded EEG while nine participants (eight males and one female) imagined three types of rhythm without auditory stimuli but with visual timing, and then we analyzed the amplitude spectra of the EEG. We also recorded EEG while the participants only gazed at the visual timing as a control condition to confirm the visual effect. Furthermore, we derived features of the EEG using canonical correlation analysis (CCA) and conducted an experiment to individually classify the three types of imagined rhythm from the EEG. The results showed that classification accuracies exceeded the chance level in all participants. These results suggest that auditory imagery of meter elicits a periodic EEG response that changes at the imagined beat and meter frequency even in the fully imagined conditions. This study represents the first step toward the realization of a method for reconstructing the imagined music from brain activity.

EEMD-MUSIC-Based Analysis for Natural Frequencies Identification of Structures Using Artificial and Natural Excitations

PubMed Central

Amezquita-Sanchez, Juan P.; Romero-Troncoso, Rene J.; Osornio-Rios, Roque A.; Garcia-Perez, Arturo

2014-01-01

This paper presents a new EEMD-MUSIC- (ensemble empirical mode decomposition-multiple signal classification-) based methodology to identify modal frequencies in structures ranging from free and ambient vibration signals produced by artificial and natural excitations and also considering several factors as nonstationary effects, close modal frequencies, and noisy environments, which are common situations where several techniques reported in literature fail. The EEMD and MUSIC methods are used to decompose the vibration signal into a set of IMFs (intrinsic mode functions) and to identify the natural frequencies of a structure, respectively. The effectiveness of the proposed methodology has been validated and tested with synthetic signals and under real operating conditions. The experiments are focused on extracting the natural frequencies of a truss-type scaled structure and of a bridge used for both highway traffic and pedestrians. Results show the proposed methodology as a suitable solution for natural frequencies identification of structures from free and ambient vibration signals. PMID:24683346

EEMD-MUSIC-based analysis for natural frequencies identification of structures using artificial and natural excitations.

PubMed

Camarena-Martinez, David; Amezquita-Sanchez, Juan P; Valtierra-Rodriguez, Martin; Romero-Troncoso, Rene J; Osornio-Rios, Roque A; Garcia-Perez, Arturo

2014-01-01

This paper presents a new EEMD-MUSIC- (ensemble empirical mode decomposition-multiple signal classification-) based methodology to identify modal frequencies in structures ranging from free and ambient vibration signals produced by artificial and natural excitations and also considering several factors as nonstationary effects, close modal frequencies, and noisy environments, which are common situations where several techniques reported in literature fail. The EEMD and MUSIC methods are used to decompose the vibration signal into a set of IMFs (intrinsic mode functions) and to identify the natural frequencies of a structure, respectively. The effectiveness of the proposed methodology has been validated and tested with synthetic signals and under real operating conditions. The experiments are focused on extracting the natural frequencies of a truss-type scaled structure and of a bridge used for both highway traffic and pedestrians. Results show the proposed methodology as a suitable solution for natural frequencies identification of structures from free and ambient vibration signals.

Music psychopathology. V. Objective features of instrumental performance and psychopathology.

PubMed

Steinberg, R; Fani, M; Raith, L

1992-01-01

Mental disease systematically impairs musical expression according to nosologic classification. This was demonstrated with a polarity profile of the instrumental performances of 60 inpatients and 14 controls matched for musical aptitude. Objective performance characteristics such as irregularities and playing faults were analyzed too. No meaningful correlation between these features and psychopathology resulted. This indicates that even in severe psychopathologic alterations performance features, which depend mainly on education and actual training, are not altered in a systematic manner, in contrast to expressive qualities.

Breast cancer detection using interferometric MUSIC: experimental and numerical assessment.

PubMed

Ruvio, Giuseppe; Solimene, Raffaele; Cuccaro, Antonio; Gaetano, Domenico; Browne, Jacinta E; Ammann, Max J

2014-10-01

In microwave breast cancer detection, it is often beneficial to arrange sensors in close proximity to the breast. The resultant coupling generally changes the antenna response. As an a priori characterization of the radio frequency system becomes difficult, this can lead to severe degradation of the detection efficacy. The purpose of this paper is to demonstrate the advantages of adopting an interferometric multiple signal classification (I-MUSIC) approach due to its limited dependence from a priori information on the antenna. The performance of I-MUSIC detection was measured in terms of signal-to-clutter ratio (SCR), signal-to-mean ratio (SMR), and spatial displacement (SD) and compared to other common linear noncoherent imaging methods, such as migration and the standard wideband MUSIC (WB-MUSIC) which also works when the antenna is not accounted for. The data were acquired by scanning a synthetic oil-in-gelatin phantom that mimics the dielectric properties of breast tissues across the spectrum 1-3 GHz using a proprietary breast microwave multi-monostatic radar system. The phantom is a multilayer structure that includes skin, adipose, fibroconnective, fibroglandular, and tumor tissue with an adipose component accounting for 60% of the whole structure. The detected tumor has a diameter of 5 mm and is inserted inside a fibroglandular region with a permittivity contrast εr-tumor/εr-fibroglandular < 1.5 over the operating band. Three datasets were recorded corresponding to three antennas with different coupling mechanisms. This was done to assess the independence of the I-MUSIC method from antenna characterizations. The datasets were processed by using I-MUSIC, noncoherent migration, and wideband MUSIC under equivalent conditions (i.e., operative bandwidth, frequency samples, and scanning positions). SCR, SMR, and SD figures were measured from all reconstructed images. In order to benchmark experimental results, numerical simulations of equivalent scenarios were carried out by using CST Microwave Studio. The three numerical datasets were then processed following the same procedure that was designed for the experimental case. Detection results are presented for both experimental and numerical phantoms, and higher performance of the I-MUSIC method in comparison with the WB-MUSIC and noncoherent migration is achieved. This finding is confirmed for the three different antennas in this study. Although a delocalization effect occurs, experimental datasets show that the signal-to-clutter ratio and the signal-to-mean performance with the I-MUSIC are at least 5 and 2.3 times better than the other methods, respectively. The numerical datasets calculated on an equivalent phantom for cross-testing confirm the improved performance of the I-MUSIC in terms of SCR and SMR. In numerical simulations, the delocalization effect is dramatically reduced up to an SD value of 1.61 achieved with the I-MUSIC in combination with the antipodal Vivaldi antenna. This shows that mechanical uncertainties are the main reason for the delocalization effect in the measurements. Experimental results show that the I-MUSIC generates images with signal-to-clutter levels higher than 5.46 dB across all working conditions and it reaches 7.84 dB in combination with the antipodal Vivaldi antenna. Numerical simulations confirm this trend and due to ideal mechanical conditions return a signal-to-clutter level higher than 7.61 dB. The I-MUSIC largely outperforms the methods under comparison and is able to detect a 5-mm tumor with a permittivity contrast of 1.5.

The evolution of popular music: USA 1960-2010.

PubMed

Mauch, Matthias; MacCallum, Robert M; Levy, Mark; Leroi, Armand M

2015-05-01

In modern societies, cultural change seems ceaseless. The flux of fashion is especially obvious for popular music. While much has been written about the origin and evolution of pop, most claims about its history are anecdotal rather than scientific in nature. To rectify this, we investigate the US Billboard Hot 100 between 1960 and 2010. Using music information retrieval and text-mining tools, we analyse the musical properties of approximately 17 000 recordings that appeared in the charts and demonstrate quantitative trends in their harmonic and timbral properties. We then use these properties to produce an audio-based classification of musical styles and study the evolution of musical diversity and disparity, testing, and rejecting, several classical theories of cultural change. Finally, we investigate whether pop musical evolution has been gradual or punctuated. We show that, although pop music has evolved continuously, it did so with particular rapidity during three stylistic 'revolutions' around 1964, 1983 and 1991. We conclude by discussing how our study points the way to a quantitative science of cultural change.

Multimedia Classifier

NASA Astrophysics Data System (ADS)

Costache, G. N.; Gavat, I.

2004-09-01

Along with the aggressive growing of the amount of digital data available (text, audio samples, digital photos and digital movies joined all in the multimedia domain) the need for classification, recognition and retrieval of this kind of data became very important. In this paper will be presented a system structure to handle multimedia data based on a recognition perspective. The main processing steps realized for the interesting multimedia objects are: first, the parameterization, by analysis, in order to obtain a description based on features, forming the parameter vector; second, a classification, generally with a hierarchical structure to make the necessary decisions. For audio signals, both speech and music, the derived perceptual features are the melcepstral (MFCC) and the perceptual linear predictive (PLP) coefficients. For images, the derived features are the geometric parameters of the speaker mouth. The hierarchical classifier consists generally in a clustering stage, based on the Kohonnen Self-Organizing Maps (SOM) and a final stage, based on a powerful classification algorithm called Support Vector Machines (SVM). The system, in specific variants, is applied with good results in two tasks: the first, is a bimodal speech recognition which uses features obtained from speech signal fused to features obtained from speaker's image and the second is a music retrieval from large music database.

Polyphonic Music Information Retrieval Based on Multi-Label Cascade Classification System

ERIC Educational Resources Information Center

Jiang, Wenxin

2009-01-01

Recognition and separation of sounds played by various instruments is very useful in labeling audio files with semantic information. This is a non-trivial task requiring sound analysis, but the results can aid automatic indexing and browsing music data when searching for melodies played by user specified instruments. Melody match based on pitch…

Early evaluation of the therapeutic effectiveness in children with epilepsy by quantitative EEG: a model of Mozart K.448 listening--a preliminary study.

PubMed

Lin, Lung-Chang; Ouyang, Chen-Sen; Chiang, Ching-Tai; Wu, Hui-Chuan; Yang, Rei-Cheng

2014-10-01

There are many treatments being developed for patients with epilepsy, including anti-epileptic drugs, ketogenic diet and vagus nerve stimulation. To date, there is a lack of valid methods to predict at an early stage the therapeutic effects on patients with epilepsy who receive one of these treatments. Our previous studies revealed that epileptiform discharges which were observed in patients with epilepsy were significantly decreased while listening to Mozart K.448. In this study, we attempted to develop a useful marker by utilizing a quantitative electroencephalogram (qEEG) method in analyzing the features of EEG to early evaluate the effect of the music on children with epilepsy, even without epileptiform discharges. EEG segments from 19 Taiwanese children who were selected from a large screen study of music effect (eight boys and 11 girls) diagnosed with epilepsy were analyzed. EEG examinations were performed in two parallel periods in each patient; before, and while listening to Mozart K.448's first movement (8 min 22s) and EEG data were compared by qEEG. EEG segments were classified into music effective/ineffective group. The term "effective" was defined as patient exposure to music resulting in over a 25% reduction in epileptiform discharges. On the contrary, the term "ineffective" was defined as patient exposure to music resulting in less than a 5% reduction in epileptiform discharges. There were four global feature descriptors selected for the music effective/ineffective classification. Two descriptors, DecorrTime_avg_AVG and DecorrTime_std_AVG, were related to the EEG feature "decorrelation" whereas the other two descriptors, RelPowGamma_avg_SNR and RelPowGamma_std_SNR, were related to "relative power of gamma." There were significantly higher RelPowGamma_std_SNR (0.190±0.133 vs. -0.026±0.119, p=0.0029), DecorrTime_std_AVG (0.005±0.004 vs. 0.0003±0.0016, p=0.0055), DecorrTime_avg_AVG (0.005±0.005 vs. -0.002±0.008, p=0.0179), and RelPowGamma_avg_SNR (0.176±0.219 vs. -0.078±0.244, p=0.0222) in the effective group than in the ineffective group. The precision rate of classification was 0.953. Using qEEG, we have developed a useful model for predicting therapeutic effectiveness of music in patients with epilepsy. Among the limited number of patients, the tool is of potential to predict the effectiveness in patients even without epileptiform discharges. It is worthwhile in the application of other therapeutic model. Copyright © 2014 Elsevier B.V. All rights reserved.

Two Classification Methods for Grouping Common Environmental Sounds in Terms of Perceived Pleasantness

DTIC Science & Technology

2016-02-01

the goals of the present study in mind. Fiedler (2011), in a review describing some common pitfalls in traditional psychological research, points...stimulus similarity and uncertainty in auditory change deafness. Frontiers in Psychology . 2014:5:1125. Dickerson K, Gaston JR, Perelman BS, Mermagen...Perspectives on Psychology . 2011;6(2):163–171. Fletcher NH, Rossing T. The physics of musical instruments. New York (NY): Springer; 1998. Gaver

Photonic Breast Tomography and Tumor Aggressiveness Assessment

DTIC Science & Technology

2010-07-01

removal of breast tumours (Specific Aim 4). While the TROT approach [7] has been introduced in other areas, such as, array processing for acoustic and...to the time-reversal matrix used in the general area of array processing for acoustic and radar time-reversal imaging [15]. The eigenvalue equation...spectrum [Eq.(1) in Ref. 8] is calculated directly for all voxels in the sample using the vector subspace method, Multiple Signal Classification ( MUSIC

The effects of learning on event-related potential correlates of musical expectancy.

PubMed

Carrión, Ricardo E; Bly, Benjamin Martin

2008-09-01

Musical processing studies have shown that unexpected endings in familiar musical sequences produce extended latencies of the P300 component. The present study sought to identify event-related potential (ERP) correlates of musical expectancy by entraining participants with rule-governed chord sequences and testing whether unexpected endings created similar responses. Two experiments were conducted in which participants performed grammaticality classifications without training (Experiment 1) and with training (Experiment 2). In both experiments, deviant chords differing in instrumental timbre elicited a MMN/P3a waveform complex. Violations related to learned patterns elicited an early right anterior negativity and P3b. Latency and amplitude of peak components were modulated by the physical characteristics of the chords, expectations due to prior knowledge of musical harmony, and contextually defined expectations developed through entrainment.

Noncolocated Time-Reversal MUSIC: High-SNR Distribution of Null Spectrum

NASA Astrophysics Data System (ADS)

Ciuonzo, Domenico; Rossi, Pierluigi Salvo

2017-04-01

We derive the asymptotic distribution of the null spectrum of the well-known Multiple Signal Classification (MUSIC) in its computational Time-Reversal (TR) form. The result pertains to a single-frequency non-colocated multistatic scenario and several TR-MUSIC variants are here investigated. The analysis builds upon the 1st-order perturbation of the singular value decomposition and allows a simple characterization of null-spectrum moments (up to the 2nd order). This enables a comparison in terms of spectrums stability. Finally, a numerical analysis is provided to confirm the theoretical findings.

Moving Sound Source Localization Based on Sequential Subspace Estimation in Actual Room Environments

NASA Astrophysics Data System (ADS)

Tsuji, Daisuke; Suyama, Kenji

This paper presents a novel method for moving sound source localization and its performance evaluation in actual room environments. The method is based on the MUSIC (MUltiple SIgnal Classification) which is one of the most high resolution localization methods. When using the MUSIC, a computation of eigenvectors of correlation matrix is required for the estimation. It needs often a high computational costs. Especially, in the situation of moving source, it becomes a crucial drawback because the estimation must be conducted at every the observation time. Moreover, since the correlation matrix varies its characteristics due to the spatial-temporal non-stationarity, the matrix have to be estimated using only a few observed samples. It makes the estimation accuracy degraded. In this paper, the PAST (Projection Approximation Subspace Tracking) is applied for sequentially estimating the eigenvectors spanning the subspace. In the PAST, the eigen-decomposition is not required, and therefore it is possible to reduce the computational costs. Several experimental results in the actual room environments are shown to present the superior performance of the proposed method.

Classification of prefrontal activity due to mental arithmetic and music imagery using hidden Markov models and frequency domain near-infrared spectroscopy

NASA Astrophysics Data System (ADS)

Power, Sarah D.; Falk, Tiago H.; Chau, Tom

2010-04-01

Near-infrared spectroscopy (NIRS) has recently been investigated as a non-invasive brain-computer interface (BCI). In particular, previous research has shown that NIRS signals recorded from the motor cortex during left- and right-hand imagery can be distinguished, providing a basis for a two-choice NIRS-BCI. In this study, we investigated the feasibility of an alternative two-choice NIRS-BCI paradigm based on the classification of prefrontal activity due to two cognitive tasks, specifically mental arithmetic and music imagery. Deploying a dual-wavelength frequency domain near-infrared spectrometer, we interrogated nine sites around the frontopolar locations (International 10-20 System) while ten able-bodied adults performed mental arithmetic and music imagery within a synchronous shape-matching paradigm. With the 18 filtered AC signals, we created task- and subject-specific maximum likelihood classifiers using hidden Markov models. Mental arithmetic and music imagery were classified with an average accuracy of 77.2% ± 7.0 across participants, with all participants significantly exceeding chance accuracies. The results suggest the potential of a two-choice NIRS-BCI based on cognitive rather than motor tasks.

Artificial Neural Network approach to develop unique Classification and Raga identification tools for Pattern Recognition in Carnatic Music

NASA Astrophysics Data System (ADS)

Srimani, P. K.; Parimala, Y. G.

2011-12-01

A unique approach has been developed to study patterns in ragas of Carnatic Classical music based on artificial neural networks. Ragas in Carnatic music which have found their roots in the Vedic period, have grown on a Scientific foundation over thousands of years. However owing to its vastness and complexities it has always been a challenge for scientists and musicologists to give an all encompassing perspective both qualitatively and quantitatively. Cognition, comprehension and perception of ragas in Indian classical music have always been the subject of intensive research, highly intriguing and many facets of these are hitherto not unravelled. This paper is an attempt to view the melakartha ragas with a cognitive perspective using artificial neural network based approach which has given raise to very interesting results. The 72 ragas of the melakartha system were defined through the combination of frequencies occurring in each of them. The data sets were trained using several neural networks. 100% accurate pattern recognition and classification was obtained using linear regression, TLRN, MLP and RBF networks. Performance of the different network topologies, by varying various network parameters, were compared. Linear regression was found to be the best performing network.

A Coupled k-Nearest Neighbor Algorithm for Multi-Label Classification

DTIC Science & Technology

2015-05-22

classification, an image may contain several concepts simultaneously, such as beach, sunset and kangaroo . Such tasks are usually denoted as multi-label...informatics, a gene can belong to both metabolism and transcription classes; and in music categorization, a song may labeled as Mozart and sad. In the

Conveying Movement in Music and Prosody

PubMed Central

Hedger, Stephen C.; Nusbaum, Howard C.; Hoeckner, Berthold

2013-01-01

We investigated whether acoustic variation of musical properties can analogically convey descriptive information about an object. Specifically, we tested whether information from the temporal structure in music interacts with perception of a visual image to form an analog perceptual representation as a natural part of music perception. In Experiment 1, listeners heard music with an accelerating or decelerating temporal pattern, and then saw a picture of a still or moving object and decided whether it was animate or inanimate – a task unrelated to the patterning of the music. Object classification was faster when musical motion matched visually depicted motion. In Experiment 2, participants heard spoken sentences that were accompanied by accelerating or decelerating music, and then were presented with a picture of a still or moving object. When motion information in the music matched motion information in the picture, participants were similarly faster to respond. Fast and slow temporal patterns without acceleration and deceleration, however, did not make participants faster when they saw a picture depicting congruent motion information (Experiment 3), suggesting that understanding temporal structure information in music may depend on specific metaphors about motion in music. Taken together, these results suggest that visuo-spatial referential information can be analogically conveyed and represented by music and can be integrated with speech or influence the understanding of speech. PMID:24146920

Sound Classification in Hearing Aids Inspired by Auditory Scene Analysis

NASA Astrophysics Data System (ADS)

Büchler, Michael; Allegro, Silvia; Launer, Stefan; Dillier, Norbert

2005-12-01

A sound classification system for the automatic recognition of the acoustic environment in a hearing aid is discussed. The system distinguishes the four sound classes "clean speech," "speech in noise," "noise," and "music." A number of features that are inspired by auditory scene analysis are extracted from the sound signal. These features describe amplitude modulations, spectral profile, harmonicity, amplitude onsets, and rhythm. They are evaluated together with different pattern classifiers. Simple classifiers, such as rule-based and minimum-distance classifiers, are compared with more complex approaches, such as Bayes classifier, neural network, and hidden Markov model. Sounds from a large database are employed for both training and testing of the system. The achieved recognition rates are very high except for the class "speech in noise." Problems arise in the classification of compressed pop music, strongly reverberated speech, and tonal or fluctuating noises.

Processing of Antenna-Array Signals on the Basis of the Interference Model Including a Rank-Deficient Correlation Matrix

NASA Astrophysics Data System (ADS)

Rodionov, A. A.; Turchin, V. I.

2017-06-01

We propose a new method of signal processing in antenna arrays, which is called the Maximum-Likelihood Signal Classification. The proposed method is based on the model in which interference includes a component with a rank-deficient correlation matrix. Using numerical simulation, we show that the proposed method allows one to ensure variance of the estimated arrival angle of the plane wave, which is close to the Cramer-Rao lower boundary and more efficient than the best-known MUSIC method. It is also shown that the proposed technique can be efficiently used for estimating the time dependence of the useful signal.

pyAudioAnalysis: An Open-Source Python Library for Audio Signal Analysis.

PubMed

Giannakopoulos, Theodoros

2015-01-01

Audio information plays a rather important role in the increasing digital content that is available today, resulting in a need for methodologies that automatically analyze such content: audio event recognition for home automations and surveillance systems, speech recognition, music information retrieval, multimodal analysis (e.g. audio-visual analysis of online videos for content-based recommendation), etc. This paper presents pyAudioAnalysis, an open-source Python library that provides a wide range of audio analysis procedures including: feature extraction, classification of audio signals, supervised and unsupervised segmentation and content visualization. pyAudioAnalysis is licensed under the Apache License and is available at GitHub (https://github.com/tyiannak/pyAudioAnalysis/). Here we present the theoretical background behind the wide range of the implemented methodologies, along with evaluation metrics for some of the methods. pyAudioAnalysis has been already used in several audio analysis research applications: smart-home functionalities through audio event detection, speech emotion recognition, depression classification based on audio-visual features, music segmentation, multimodal content-based movie recommendation and health applications (e.g. monitoring eating habits). The feedback provided from all these particular audio applications has led to practical enhancement of the library.

pyAudioAnalysis: An Open-Source Python Library for Audio Signal Analysis

PubMed Central

Giannakopoulos, Theodoros

2015-01-01

Audio information plays a rather important role in the increasing digital content that is available today, resulting in a need for methodologies that automatically analyze such content: audio event recognition for home automations and surveillance systems, speech recognition, music information retrieval, multimodal analysis (e.g. audio-visual analysis of online videos for content-based recommendation), etc. This paper presents pyAudioAnalysis, an open-source Python library that provides a wide range of audio analysis procedures including: feature extraction, classification of audio signals, supervised and unsupervised segmentation and content visualization. pyAudioAnalysis is licensed under the Apache License and is available at GitHub (https://github.com/tyiannak/pyAudioAnalysis/). Here we present the theoretical background behind the wide range of the implemented methodologies, along with evaluation metrics for some of the methods. pyAudioAnalysis has been already used in several audio analysis research applications: smart-home functionalities through audio event detection, speech emotion recognition, depression classification based on audio-visual features, music segmentation, multimodal content-based movie recommendation and health applications (e.g. monitoring eating habits). The feedback provided from all these particular audio applications has led to practical enhancement of the library. PMID:26656189

How musical expertise shapes speech perception: evidence from auditory classification images.

PubMed

Varnet, Léo; Wang, Tianyun; Peter, Chloe; Meunier, Fanny; Hoen, Michel

2015-09-24

It is now well established that extensive musical training percolates to higher levels of cognition, such as speech processing. However, the lack of a precise technique to investigate the specific listening strategy involved in speech comprehension has made it difficult to determine how musicians' higher performance in non-speech tasks contributes to their enhanced speech comprehension. The recently developed Auditory Classification Image approach reveals the precise time-frequency regions used by participants when performing phonemic categorizations in noise. Here we used this technique on 19 non-musicians and 19 professional musicians. We found that both groups used very similar listening strategies, but the musicians relied more heavily on the two main acoustic cues, at the first formant onset and at the onsets of the second and third formants onsets. Additionally, they responded more consistently to stimuli. These observations provide a direct visualization of auditory plasticity resulting from extensive musical training and shed light on the level of functional transfer between auditory processing and speech perception.

Biquaternion beamspace with its application to vector-sensor array direction findings and polarization estimations

NASA Astrophysics Data System (ADS)

Li, Dan; Xu, Feng; Jiang, Jing Fei; Zhang, Jian Qiu

2017-12-01

In this paper, a biquaternion beamspace, constructed by projecting the original data of an electromagnetic vector-sensor array into a subspace of a lower dimension via a quaternion transformation matrix, is first proposed. To estimate the direction and polarization angles of sources, biquaternion beamspace multiple signal classification (BB-MUSIC) estimators are then formulated. The analytical results show that the biquaternion beamspaces offer us some additional degrees of freedom to simultaneously achieve three goals. One is to save the memory spaces for storing the data covariance matrix and reduce the computation efforts of the eigen-decomposition. Another is to decouple the estimations of the sources' polarization parameters from those of their direction angles. The other is to blindly whiten the coherent noise of the six constituent antennas in each vector-sensor. It is also shown that the existing biquaternion multiple signal classification (BQ-MUSIC) estimator is a specific case of our BB-MUSIC ones. The simulation results verify the correctness and effectiveness of the analytical ones.

The evolution of popular music: USA 1960–2010

PubMed Central

Mauch, Matthias; MacCallum, Robert M.; Levy, Mark; Leroi, Armand M.

2015-01-01

In modern societies, cultural change seems ceaseless. The flux of fashion is especially obvious for popular music. While much has been written about the origin and evolution of pop, most claims about its history are anecdotal rather than scientific in nature. To rectify this, we investigate the US Billboard Hot 100 between 1960 and 2010. Using music information retrieval and text-mining tools, we analyse the musical properties of approximately 17 000 recordings that appeared in the charts and demonstrate quantitative trends in their harmonic and timbral properties. We then use these properties to produce an audio-based classification of musical styles and study the evolution of musical diversity and disparity, testing, and rejecting, several classical theories of cultural change. Finally, we investigate whether pop musical evolution has been gradual or punctuated. We show that, although pop music has evolved continuously, it did so with particular rapidity during three stylistic ‘revolutions’ around 1964, 1983 and 1991. We conclude by discussing how our study points the way to a quantitative science of cultural change. PMID:26064663

The effects of music listening after a stressful task on immune functions, neuroendocrine responses, and emotional states in college students.

PubMed

Hirokawa, Eri; Ohira, Hideki

2003-01-01

The purpose of this study was to examine the effects of listening to high-uplifting or low-uplifting music after a stressful task on (a) immune functions, (b) neuroendocrine responses, and (c) emotional states in college students. Musical selections that were evaluated as high-uplifting or low-uplifting by Japanese college students were used as musical stimuli. Eighteen Japanese subjects performed stressful tasks before they experienced each of these experimental conditions: (a) high-uplifting music, (b) low-uplifting music, and (c) silence. Subjects' emotional states, the Secretory IgA (S-IgA) level, active natural killer (NK) cell level, the numbers of T lymphocyte CD4+, CD8+, CD16+, dopamine, norepinephrine, and epinephrine levels were measured before and after each experimental condition. Results indicated low-uplifting music had a trend of increasing a sense of well-being. High-uplifting music showed trends of increasing the norepinephrine level, liveliness, and decreasing depression. Active NK cells were decreased after 20 min of silence. Results of the study were inconclusive, but high-uplifting and low-uplifting music had different effects on immune, neuroendocrine, and psychological responses. Classification of music is important to research that examines the effects of music on these responses. Recommendations for future research are discussed.

The timbre model

NASA Astrophysics Data System (ADS)

Jensen, Kristoffer

2002-11-01

A timbre model is proposed for use in multiple applications. This model, which encompasses all voiced isolated musical instruments, has an intuitive parameter set, fixed size, and separates the sounds in dimensions akin to the timbre dimensions as proposed in timbre research. The analysis of the model parameters is fully documented, and it proposes, in particular, a method for the estimation of the difficult decay/release split-point. The main parameters of the model are the spectral envelope, the attack/release durations and relative amplitudes, and the inharmonicity and the shimmer and jitter (which provide both for the slow random variations of the frequencies and amplitudes, and also for additive noises). Some of the applications include synthesis, where a real-time application is being developed with an intuitive gui, classification, and search of sounds based on the content of the sounds, and a further understanding of acoustic musical instrument behavior. In order to present the background of the model, this presentation will start with sinusoidal A/S, some timbre perception research, then present the timbre model, show the validity for individual music instrument sounds, and finally introduce some expression additions to the model.

A combined joint diagonalization-MUSIC algorithm for subsurface targets localization

NASA Astrophysics Data System (ADS)

Wang, Yinlin; Sigman, John B.; Barrowes, Benjamin E.; O'Neill, Kevin; Shubitidze, Fridon

2014-06-01

This paper presents a combined joint diagonalization (JD) and multiple signal classification (MUSIC) algorithm for estimating subsurface objects locations from electromagnetic induction (EMI) sensor data, without solving ill-posed inverse-scattering problems. JD is a numerical technique that finds the common eigenvectors that diagonalize a set of multistatic response (MSR) matrices measured by a time-domain EMI sensor. Eigenvalues from targets of interest (TOI) can be then distinguished automatically from noise-related eigenvalues. Filtering is also carried out in JD to improve the signal-to-noise ratio (SNR) of the data. The MUSIC algorithm utilizes the orthogonality between the signal and noise subspaces in the MSR matrix, which can be separated with information provided by JD. An array of theoreticallycalculated Green's functions are then projected onto the noise subspace, and the location of the target is estimated by the minimum of the projection owing to the orthogonality. This combined method is applied to data from the Time-Domain Electromagnetic Multisensor Towed Array Detection System (TEMTADS). Examples of TEMTADS test stand data and field data collected at Spencer Range, Tennessee are analyzed and presented. Results indicate that due to its noniterative mechanism, the method can be executed fast enough to provide real-time estimation of objects' locations in the field.

The music of morality and logic.

PubMed

Mesz, Bruno; Rodriguez Zivic, Pablo H; Cecchi, Guillermo A; Sigman, Mariano; Trevisan, Marcos A

2015-01-01

Musical theory has built on the premise that musical structures can refer to something different from themselves (Nattiez and Abbate, 1990). The aim of this work is to statistically corroborate the intuitions of musical thinkers and practitioners starting at least with Plato, that music can express complex human concepts beyond merely "happy" and "sad" (Mattheson and Lenneberg, 1958). To do so, we ask whether musical improvisations can be used to classify the semantic category of the word that triggers them. We investigated two specific domains of semantics: morality and logic. While morality has been historically associated with music, logic concepts, which involve more abstract forms of thought, are more rarely associated with music. We examined musical improvisations inspired by positive and negative morality (e.g., good and evil) and logic concepts (true and false), analyzing the associations between these words and their musical representations in terms of acoustic and perceptual features. We found that music conveys information about valence (good and true vs. evil and false) with remarkable consistency across individuals. This information is carried by several musical dimensions which act in synergy to achieve very high classification accuracy. Positive concepts are represented by music with more ordered pitch structure and lower harmonic and sensorial dissonance than negative concepts. Music also conveys information indicating whether the word which triggered it belongs to the domains of logic or morality (true vs. good), principally through musical articulation. In summary, improvisations consistently map logic and morality information to specific musical dimensions, testifying the capacity of music to accurately convey semantic information in domains related to abstract forms of thought.

The music of morality and logic

PubMed Central

Mesz, Bruno; Rodriguez Zivic, Pablo H.; Cecchi, Guillermo A.; Sigman, Mariano; Trevisan, Marcos A.

2015-01-01

Musical theory has built on the premise that musical structures can refer to something different from themselves (Nattiez and Abbate, 1990). The aim of this work is to statistically corroborate the intuitions of musical thinkers and practitioners starting at least with Plato, that music can express complex human concepts beyond merely “happy” and “sad” (Mattheson and Lenneberg, 1958). To do so, we ask whether musical improvisations can be used to classify the semantic category of the word that triggers them. We investigated two specific domains of semantics: morality and logic. While morality has been historically associated with music, logic concepts, which involve more abstract forms of thought, are more rarely associated with music. We examined musical improvisations inspired by positive and negative morality (e.g., good and evil) and logic concepts (true and false), analyzing the associations between these words and their musical representations in terms of acoustic and perceptual features. We found that music conveys information about valence (good and true vs. evil and false) with remarkable consistency across individuals. This information is carried by several musical dimensions which act in synergy to achieve very high classification accuracy. Positive concepts are represented by music with more ordered pitch structure and lower harmonic and sensorial dissonance than negative concepts. Music also conveys information indicating whether the word which triggered it belongs to the domains of logic or morality (true vs. good), principally through musical articulation. In summary, improvisations consistently map logic and morality information to specific musical dimensions, testifying the capacity of music to accurately convey semantic information in domains related to abstract forms of thought. PMID:26191020

A Functional MRI Study of Happy and Sad Emotions in Music with and without Lyrics.

PubMed

Brattico, Elvira; Alluri, Vinoo; Bogert, Brigitte; Jacobsen, Thomas; Vartiainen, Nuutti; Nieminen, Sirke; Tervaniemi, Mari

2011-01-01

Musical emotions, such as happiness and sadness, have been investigated using instrumental music devoid of linguistic content. However, pop and rock, the most common musical genres, utilize lyrics for conveying emotions. Using participants' self-selected musical excerpts, we studied their behavior and brain responses to elucidate how lyrics interact with musical emotion processing, as reflected by emotion recognition and activation of limbic areas involved in affective experience. We extracted samples from subjects' selections of sad and happy pieces and sorted them according to the presence of lyrics. Acoustic feature analysis showed that music with lyrics differed from music without lyrics in spectral centroid, a feature related to perceptual brightness, whereas sad music with lyrics did not diverge from happy music without lyrics, indicating the role of other factors in emotion classification. Behavioral ratings revealed that happy music without lyrics induced stronger positive emotions than happy music with lyrics. We also acquired functional magnetic resonance imaging data while subjects performed affective tasks regarding the music. First, using ecological and acoustically variable stimuli, we broadened previous findings about the brain processing of musical emotions and of songs versus instrumental music. Additionally, contrasts between sad music with versus without lyrics recruited the parahippocampal gyrus, the amygdala, the claustrum, the putamen, the precentral gyrus, the medial and inferior frontal gyri (including Broca's area), and the auditory cortex, while the reverse contrast produced no activations. Happy music without lyrics activated structures of the limbic system and the right pars opercularis of the inferior frontal gyrus, whereas auditory regions alone responded to happy music with lyrics. These findings point to the role of acoustic cues for the experience of happiness in music and to the importance of lyrics for sad musical emotions.

A Functional MRI Study of Happy and Sad Emotions in Music with and without Lyrics

PubMed Central

Brattico, Elvira; Alluri, Vinoo; Bogert, Brigitte; Jacobsen, Thomas; Vartiainen, Nuutti; Nieminen, Sirke; Tervaniemi, Mari

2011-01-01

Musical emotions, such as happiness and sadness, have been investigated using instrumental music devoid of linguistic content. However, pop and rock, the most common musical genres, utilize lyrics for conveying emotions. Using participants’ self-selected musical excerpts, we studied their behavior and brain responses to elucidate how lyrics interact with musical emotion processing, as reflected by emotion recognition and activation of limbic areas involved in affective experience. We extracted samples from subjects’ selections of sad and happy pieces and sorted them according to the presence of lyrics. Acoustic feature analysis showed that music with lyrics differed from music without lyrics in spectral centroid, a feature related to perceptual brightness, whereas sad music with lyrics did not diverge from happy music without lyrics, indicating the role of other factors in emotion classification. Behavioral ratings revealed that happy music without lyrics induced stronger positive emotions than happy music with lyrics. We also acquired functional magnetic resonance imaging data while subjects performed affective tasks regarding the music. First, using ecological and acoustically variable stimuli, we broadened previous findings about the brain processing of musical emotions and of songs versus instrumental music. Additionally, contrasts between sad music with versus without lyrics recruited the parahippocampal gyrus, the amygdala, the claustrum, the putamen, the precentral gyrus, the medial and inferior frontal gyri (including Broca’s area), and the auditory cortex, while the reverse contrast produced no activations. Happy music without lyrics activated structures of the limbic system and the right pars opercularis of the inferior frontal gyrus, whereas auditory regions alone responded to happy music with lyrics. These findings point to the role of acoustic cues for the experience of happiness in music and to the importance of lyrics for sad musical emotions. PMID:22144968

Generalizations of the subject-independent feature set for music-induced emotion recognition.

PubMed

Lin, Yuan-Pin; Chen, Jyh-Horng; Duann, Jeng-Ren; Lin, Chin-Teng; Jung, Tzyy-Ping

2011-01-01

Electroencephalogram (EEG)-based emotion recognition has been an intensely growing field. Yet, how to achieve acceptable accuracy on a practical system with as fewer electrodes as possible is less concerned. This study evaluates a set of subject-independent features, based on differential power asymmetry of symmetric electrode pairs [1], with emphasis on its applicability to subject variability in music-induced emotion classification problem. Results of this study have evidently validated the feasibility of using subject-independent EEG features to classify four emotional states with acceptable accuracy in second-scale temporal resolution. These features could be generalized across subjects to detect emotion induced by music excerpts not limited to the music database that was used to derive the emotion-specific features.

Improved Frame Mode Selection for AMR-WB+ Based on Decision Tree

NASA Astrophysics Data System (ADS)

Kim, Jong Kyu; Kim, Nam Soo

In this letter, we propose a coding mode selection method for the AMR-WB+ audio coder based on a decision tree. In order to reduce computation while maintaining good performance, decision tree classifier is adopted with the closed loop mode selection results as the target classification labels. The size of the decision tree is controlled by pruning, so the proposed method does not increase the memory requirement significantly. Through an evaluation test on a database covering both speech and music materials, the proposed method is found to achieve a much better mode selection accuracy compared with the open loop mode selection module in the AMR-WB+.

Low-Dimensional Feature Representation for Instrument Identification

NASA Astrophysics Data System (ADS)

Ihara, Mizuki; Maeda, Shin-Ichi; Ikeda, Kazushi; Ishii, Shin

For monophonic music instrument identification, various feature extraction and selection methods have been proposed. One of the issues toward instrument identification is that the same spectrum is not always observed even in the same instrument due to the difference of the recording condition. Therefore, it is important to find non-redundant instrument-specific features that maintain information essential for high-quality instrument identification to apply them to various instrumental music analyses. For such a dimensionality reduction method, the authors propose the utilization of linear projection methods: local Fisher discriminant analysis (LFDA) and LFDA combined with principal component analysis (PCA). After experimentally clarifying that raw power spectra are actually good for instrument classification, the authors reduced the feature dimensionality by LFDA or by PCA followed by LFDA (PCA-LFDA). The reduced features achieved reasonably high identification performance that was comparable or higher than those by the power spectra and those achieved by other existing studies. These results demonstrated that our LFDA and PCA-LFDA can successfully extract low-dimensional instrument features that maintain the characteristic information of the instruments.

Quantitative characterisation of audio data by ordinal symbolic dynamics

NASA Astrophysics Data System (ADS)

Aschenbrenner, T.; Monetti, R.; Amigó, J. M.; Bunk, W.

2013-06-01

Ordinal symbolic dynamics has developed into a valuable method to describe complex systems. Recently, using the concept of transcripts, the coupling behaviour of systems was assessed, combining the properties of the symmetric group with information theoretic ideas. In this contribution, methods from the field of ordinal symbolic dynamics are applied to the characterisation of audio data. Coupling complexity between frequency bands of solo violin music, as a fingerprint of the instrument, is used for classification purposes within a support vector machine scheme. Our results suggest that coupling complexity is able to capture essential characteristics, sufficient to distinguish among different violins.

Improving Driver Alertness through Music Selection Using a Mobile EEG to Detect Brainwaves

PubMed Central

Liu, Ning-Han; Chiang, Cheng-Yu; Hsu, Hsiang-Ming

2013-01-01

Driving safety has become a global topic of discussion with the recent development of the Smart Car concept. Many of the current car safety monitoring systems are based on image discrimination techniques, such as sensing the vehicle drifting from the main road, or changes in the driver's facial expressions. However, these techniques are either too simplistic or have a low success rate as image processing is easily affected by external factors, such as weather and illumination. We developed a drowsiness detection mechanism based on an electroencephalogram (EEG) reading collected from the driver with an off-the-shelf mobile sensor. This sensor employs wireless transmission technology and is suitable for wear by the driver of a vehicle. The following classification techniques were incorporated: Artificial Neural Networks, Support Vector Machine, and k Nearest Neighbor. These classifiers were integrated with integration functions after a genetic algorithm was first used to adjust the weighting for each classifier in the integration function. In addition, since past studies have shown effects of music on a person's state-of-mind, we propose a personalized music recommendation mechanism as a part of our system. Through the in-car stereo system, this music recommendation mechanism can help prevent a driver from becoming drowsy due to monotonous road conditions. Experimental results demonstrate the effectiveness of our proposed drowsiness detection method to determine a driver's state of mind, and the music recommendation system is therefore able to reduce drowsiness. PMID:23803789

The effect of traditional Persian music on the cardiac functioning of young Iranian women.

PubMed

Abedi, Behzad; Abbasi, Ataollah; Goshvarpour, Atefeh; Khosroshai, Hamid Tayebi; Javanshir, Elnaz

In the past few decades, several studies have reported the physiological effects of listening to music. The physiological effects of different music types on different people are not similar. Therefore, in the present study, we have sought to examine the effects of traditional Persian music on the cardiac function in young women. Twenty-two healthy females participated in this study. ECG signals were recorded in two conditions: rest and music. For each of the 21 ECG signals (15 morphological and six wavelet based feature) features were extracted. SVM classifier was used for the classification of ECG signals during and before the music. The results showed that the mean of heart rate, the mean amplitude of R-wave, T-wave, and P-wave decreased in response to music. Time-frequency analysis revealed that the mean of the absolute values of the detail coefficients at higher scales increased during rest. The overall accuracy of 91.6% was achieved using polynomial kernel and RBF kernel. Using linear kernel, the best result (with the accuracy rate of 100%) was attained. Copyright © 2016. Published by Elsevier B.V.

Uncertainty Analyses for Back Projection Methods

NASA Astrophysics Data System (ADS)

Zeng, H.; Wei, S.; Wu, W.

2017-12-01

So far few comprehensive error analyses for back projection methods have been conducted, although it is evident that high frequency seismic waves can be easily affected by earthquake depth, focal mechanisms and the Earth's 3D structures. Here we perform 1D and 3D synthetic tests for two back projection methods, MUltiple SIgnal Classification (MUSIC) (Meng et al., 2011) and Compressive Sensing (CS) (Yao et al., 2011). We generate synthetics for both point sources and finite rupture sources with different depths, focal mechanisms, as well as 1D and 3D structures in the source region. The 3D synthetics are generated through a hybrid scheme of Direct Solution Method and Spectral Element Method. Then we back project the synthetic data using MUSIC and CS. The synthetic tests show that the depth phases can be back projected as artificial sources both in space and time. For instance, for a source depth of 10km, back projection gives a strong signal 8km away from the true source. Such bias increases with depth, e.g., the error of horizontal location could be larger than 20km for a depth of 40km. If the array is located around the nodal direction of direct P-waves the teleseismic P-waves are dominated by the depth phases. Therefore, back projections are actually imaging the reflection points of depth phases more than the rupture front. Besides depth phases, the strong and long lasted coda waves due to 3D effects near trench can lead to additional complexities tested here. The strength contrast of different frequency contents in the rupture models also produces some variations to the back projection results. In the synthetic tests, MUSIC and CS derive consistent results. While MUSIC is more computationally efficient, CS works better for sparse arrays. In summary, our analyses indicate that the impact of various factors mentioned above should be taken into consideration when interpreting back projection images, before we can use them to infer the earthquake rupture physics.

Genre Complexes in Popular Music

PubMed Central

Childress, C. Clayton

2016-01-01

Recent work in the sociology of music suggests a declining importance of genre categories. Yet other work in this research stream and in the sociology of classification argues for the continued prevalence of genres as a meaningful tool through which creators, critics and consumers focus their attention in the topology of available works. Building from work in the study of categories and categorization we examine how boundary strength and internal differentiation structure the genre pairings of some 3 million musicians and groups. Using a range of network-based and statistical techniques, we uncover three musical “complexes,” which are collectively constituted by 16 smaller genre communities. Our analysis shows that the musical universe is not monolithically organized but rather composed of multiple worlds that are differently structured—i.e., uncentered, single-centered, and multi-centered. PMID:27203852

MUSIC algorithm for location searching of dielectric anomalies from S-parameters using microwave imaging

NASA Astrophysics Data System (ADS)

Park, Won-Kwang; Kim, Hwa Pyung; Lee, Kwang-Jae; Son, Seong-Ho

2017-11-01

Motivated by the biomedical engineering used in early-stage breast cancer detection, we investigated the use of MUltiple SIgnal Classification (MUSIC) algorithm for location searching of small anomalies using S-parameters. We considered the application of MUSIC to functional imaging where a small number of dipole antennas are used. Our approach is based on the application of Born approximation or physical factorization. We analyzed cases in which the anomaly is respectively small and large in relation to the wavelength, and the structure of the left-singular vectors is linked to the nonzero singular values of a Multi-Static Response (MSR) matrix whose elements are the S-parameters. Using simulations, we demonstrated the strengths and weaknesses of the MUSIC algorithm in detecting both small and extended anomalies.

Genre Complexes in Popular Music.

PubMed

Silver, Daniel; Lee, Monica; Childress, C Clayton

2016-01-01

Recent work in the sociology of music suggests a declining importance of genre categories. Yet other work in this research stream and in the sociology of classification argues for the continued prevalence of genres as a meaningful tool through which creators, critics and consumers focus their attention in the topology of available works. Building from work in the study of categories and categorization we examine how boundary strength and internal differentiation structure the genre pairings of some 3 million musicians and groups. Using a range of network-based and statistical techniques, we uncover three musical "complexes," which are collectively constituted by 16 smaller genre communities. Our analysis shows that the musical universe is not monolithically organized but rather composed of multiple worlds that are differently structured-i.e., uncentered, single-centered, and multi-centered.

Active Electro-Location of Objects in the Underwater Environment Based on the Mixed Polarization Multiple Signal Classification Algorithm

PubMed Central

Guo, Lili; Qi, Junwei; Xue, Wei

2018-01-01

This article proposes a novel active localization method based on the mixed polarization multiple signal classification (MP-MUSIC) algorithm for positioning a metal target or an insulator target in the underwater environment by using a uniform circular antenna (UCA). The boundary element method (BEM) is introduced to analyze the boundary of the target by use of a matrix equation. In this method, an electric dipole source as a part of the locating system is set perpendicularly to the plane of the UCA. As a result, the UCA can only receive the induction field of the target. The potential of each electrode of the UCA is used as spatial-temporal localization data, and it does not need to obtain the field component in each direction compared with the conventional fields-based localization method, which can be easily implemented in practical engineering applications. A simulation model and a physical experiment are constructed. The simulation and the experiment results provide accurate positioning performance, with the help of verifying the effectiveness of the proposed localization method in underwater target locating. PMID:29439495

Development of an FBG Sensor Array for Multi-Impact Source Localization on CFRP Structures.

PubMed

Jiang, Mingshun; Sai, Yaozhang; Geng, Xiangyi; Sui, Qingmei; Liu, Xiaohui; Jia, Lei

2016-10-24

We proposed and studied an impact detection system based on a fiber Bragg grating (FBG) sensor array and multiple signal classification (MUSIC) algorithm to determine the location and the number of low velocity impacts on a carbon fiber-reinforced polymer (CFRP) plate. A FBG linear array, consisting of seven FBG sensors, was used for detecting the ultrasonic signals from impacts. The edge-filter method was employed for signal demodulation. Shannon wavelet transform was used to extract narrow band signals from the impacts. The Gerschgorin disc theorem was used for estimating the number of impacts. We used the MUSIC algorithm to obtain the coordinates of multi-impacts. The impact detection system was tested on a 500 mm × 500 mm × 1.5 mm CFRP plate. The results show that the maximum error and average error of the multi-impacts' localization are 9.2 mm and 7.4 mm, respectively.

Application of multiple signal classification algorithm to frequency estimation in coherent dual-frequency lidar

NASA Astrophysics Data System (ADS)

Li, Ruixiao; Li, Kun; Zhao, Changming

2018-01-01

Coherent dual-frequency Lidar (CDFL) is a new development of Lidar which dramatically enhances the ability to decrease the influence of atmospheric interference by using dual-frequency laser to measure the range and velocity with high precision. Based on the nature of CDFL signals, we propose to apply the multiple signal classification (MUSIC) algorithm in place of the fast Fourier transform (FFT) to estimate the phase differences in dual-frequency Lidar. In the presence of Gaussian white noise, the simulation results show that the signal peaks are more evident when using MUSIC algorithm instead of FFT in condition of low signal-noise-ratio (SNR), which helps to improve the precision of detection on range and velocity, especially for the long distance measurement systems.

Effects of Early Bilingual Experience with a Tone and a Non-Tone Language on Speech-Music Integration

PubMed Central

Asaridou, Salomi S.; Hagoort, Peter; McQueen, James M.

2015-01-01

We investigated music and language processing in a group of early bilinguals who spoke a tone language and a non-tone language (Cantonese and Dutch). We assessed online speech-music processing interactions, that is, interactions that occur when speech and music are processed simultaneously in songs, with a speeded classification task. In this task, participants judged sung pseudowords either musically (based on the direction of the musical interval) or phonologically (based on the identity of the sung vowel). We also assessed longer-term effects of linguistic experience on musical ability, that is, the influence of extensive prior experience with language when processing music. These effects were assessed with a task in which participants had to learn to identify musical intervals and with four pitch-perception tasks. Our hypothesis was that due to their experience in two different languages using lexical versus intonational tone, the early Cantonese-Dutch bilinguals would outperform the Dutch control participants. In online processing, the Cantonese-Dutch bilinguals processed speech and music more holistically than controls. This effect seems to be driven by experience with a tone language, in which integration of segmental and pitch information is fundamental. Regarding longer-term effects of linguistic experience, we found no evidence for a bilingual advantage in either the music-interval learning task or the pitch-perception tasks. Together, these results suggest that being a Cantonese-Dutch bilingual does not have any measurable longer-term effects on pitch and music processing, but does have consequences for how speech and music are processed jointly. PMID:26659377

Effects of Early Bilingual Experience with a Tone and a Non-Tone Language on Speech-Music Integration.

PubMed

Asaridou, Salomi S; Hagoort, Peter; McQueen, James M

2015-01-01

We investigated music and language processing in a group of early bilinguals who spoke a tone language and a non-tone language (Cantonese and Dutch). We assessed online speech-music processing interactions, that is, interactions that occur when speech and music are processed simultaneously in songs, with a speeded classification task. In this task, participants judged sung pseudowords either musically (based on the direction of the musical interval) or phonologically (based on the identity of the sung vowel). We also assessed longer-term effects of linguistic experience on musical ability, that is, the influence of extensive prior experience with language when processing music. These effects were assessed with a task in which participants had to learn to identify musical intervals and with four pitch-perception tasks. Our hypothesis was that due to their experience in two different languages using lexical versus intonational tone, the early Cantonese-Dutch bilinguals would outperform the Dutch control participants. In online processing, the Cantonese-Dutch bilinguals processed speech and music more holistically than controls. This effect seems to be driven by experience with a tone language, in which integration of segmental and pitch information is fundamental. Regarding longer-term effects of linguistic experience, we found no evidence for a bilingual advantage in either the music-interval learning task or the pitch-perception tasks. Together, these results suggest that being a Cantonese-Dutch bilingual does not have any measurable longer-term effects on pitch and music processing, but does have consequences for how speech and music are processed jointly.

Use of music to reduce anxiety during office hysteroscopy: prospective randomized trial.

PubMed

Angioli, Roberto; De Cicco Nardone, Carlo; Plotti, Francesco; Cafà, Ester Valentina; Dugo, Nella; Damiani, Patrizio; Ricciardi, Roberto; Linciano, Francesca; Terranova, Corrado

2014-01-01

To investigate the effects of music on anxiety and perception of pain during office hysteroscopy. Prospective randomized trial (Canadian Task Force classification I). Major university medical center. Three hundred fifty-six patients were enrolled between July 2012 and January 2013. Hysteroscopy was performed in a dedicated ambulatory room, using vaginoscopy and without any type of anesthesia. A Bettocchi hysteroscope 5 mm in diameter was used. All procedures were performed by the same surgeon, a gynecologist with special interest in hysteroscopy. Data collected included age, body mass index, number of vaginal deliveries, educational achievement level, and history of endometrial surgery (curettage and/or hysteroscopy). For each patient, vital parameters such as blood pressure, heart rate, and respiratory rate were recorded 15 minutes before the procedure and during hysteroscopy after traversing the cervix. Wait time before surgery and the duration of the procedure were also recorded. A completed Italian version of the state anxiety questionnaire (State-Trait Anxiety Inventory) and a visual analog scale (VAS) were administered to each patient before and after the procedure. The t test and Mann-Whitney U test was used when appropriate to compare the 2 groups. Statistical significance was accepted at p = .05. During surgery, systolic blood pressure and heart rate were significantly lower in the music group compared with the no music group. Women in the music group experienced significantly lower anxiety after hysteroscopy and less pain during the procedure, and a significant decrease in both anxiety and pain scores after hysteroscopy. Postoperative State-Trait Anxiety Inventory form Y1 and VAS scores were significantly lower in the music group. Music can be useful as a complementary method to control anxiety and reduce perception of pain. The patient is more relaxed and experiences less discomfort. Copyright © 2014. Published by Elsevier Inc.

Analysis of MUSIC-type imaging functional for single, thin electromagnetic inhomogeneity in limited-view inverse scattering problem

NASA Astrophysics Data System (ADS)

Ahn, Chi Young; Jeon, Kiwan; Park, Won-Kwang

2015-06-01

This study analyzes the well-known MUltiple SIgnal Classification (MUSIC) algorithm to identify unknown support of thin penetrable electromagnetic inhomogeneity from scattered field data collected within the so-called multi-static response matrix in limited-view inverse scattering problems. The mathematical theories of MUSIC are partially discovered, e.g., in the full-view problem, for an unknown target of dielectric contrast or a perfectly conducting crack with the Dirichlet boundary condition (Transverse Magnetic-TM polarization) and so on. Hence, we perform further research to analyze the MUSIC-type imaging functional and to certify some well-known but theoretically unexplained phenomena. For this purpose, we establish a relationship between the MUSIC imaging functional and an infinite series of Bessel functions of integer order of the first kind. This relationship is based on the rigorous asymptotic expansion formula in the existence of a thin inhomogeneity with a smooth supporting curve. Various results of numerical simulation are presented in order to support the identified structure of MUSIC. Although a priori information of the target is needed, we suggest a least condition of range of incident and observation directions to apply MUSIC in the limited-view problem.

Music information retrieval in compressed audio files: a survey

NASA Astrophysics Data System (ADS)

Zampoglou, Markos; Malamos, Athanasios G.

2014-07-01

In this paper, we present an organized survey of the existing literature on music information retrieval systems in which descriptor features are extracted directly from the compressed audio files, without prior decompression to pulse-code modulation format. Avoiding the decompression step and utilizing the readily available compressed-domain information can significantly lighten the computational cost of a music information retrieval system, allowing application to large-scale music databases. We identify a number of systems relying on compressed-domain information and form a systematic classification of the features they extract, the retrieval tasks they tackle and the degree in which they achieve an actual increase in the overall speed-as well as any resulting loss in accuracy. Finally, we discuss recent developments in the field, and the potential research directions they open toward ultra-fast, scalable systems.

Deficit in automatic sound-change detection may underlie some music perception deficits after acute hemispheric stroke.

PubMed

Kohlmetz, C; Altenmüller, E; Schuppert, M; Wieringa, B M; Münte, T F

2001-01-01

Music perception deficits following acute neurological damage are thought to be rare. By a newly devised test battery of music-perception skills, however, we were able to identify among a group of 12 patients with acute hemispheric stroke six patients with music perception deficits (amusia) while six others had no such deficits. In addition we recorded event-related brain potentials (ERPs) in a passive listening task with frequent standard and infrequent pitch deviants designed to elicit the mismatch negativity (MMN). The MMN in the patients with amusia was grossly reduced, while the non-amusic patients and control subjects had MMNs of equal size. These data show that amusia is quite common in unselected stroke patients. The MMN reduction suggests that amusia is related to unspecific automatic stimulus classification deficits in these patients.

Investigation to realize a computationally efficient implementation of the high-order instantaneous-moments-based fringe analysis method

NASA Astrophysics Data System (ADS)

Gorthi, Sai Siva; Rajshekhar, Gannavarpu; Rastogi, Pramod

2010-06-01

Recently, a high-order instantaneous moments (HIM)-operator-based method was proposed for accurate phase estimation in digital holographic interferometry. The method relies on piece-wise polynomial approximation of phase and subsequent evaluation of the polynomial coefficients from the HIM operator using single-tone frequency estimation. The work presents a comparative analysis of the performance of different single-tone frequency estimation techniques, like Fourier transform followed by optimization, estimation of signal parameters by rotational invariance technique (ESPRIT), multiple signal classification (MUSIC), and iterative frequency estimation by interpolation on Fourier coefficients (IFEIF) in HIM-operator-based methods for phase estimation. Simulation and experimental results demonstrate the potential of the IFEIF technique with respect to computational efficiency and estimation accuracy.

Imaging of downward-looking linear array SAR using three-dimensional spatial smoothing MUSIC algorithm

NASA Astrophysics Data System (ADS)

Zhang, Siqian; Kuang, Gangyao

2014-10-01

In this paper, a novel three-dimensional imaging algorithm of downward-looking linear array SAR is presented. To improve the resolution, multiple signal classification (MUSIC) algorithm has been used. However, since the scattering centers are always correlated in real SAR system, the estimated covariance matrix becomes singular. To address the problem, a three-dimensional spatial smoothing method is proposed in this paper to restore the singular covariance matrix to a full-rank one. The three-dimensional signal matrix can be divided into a set of orthogonal three-dimensional subspaces. The main idea of the method is based on extracting the array correlation matrix as the average of all correlation matrices from the subspaces. In addition, the spectral height of the peaks contains no information with regard to the scattering intensity of the different scattering centers, thus it is difficulty to reconstruct the backscattering information. The least square strategy is used to estimate the amplitude of the scattering center in this paper. The above results of the theoretical analysis are verified by 3-D scene simulations and experiments on real data.

3D Target Localization of Modified 3D MUSIC for a Triple-Channel K-Band Radar.

PubMed

Li, Ying-Chun; Choi, Byunggil; Chong, Jong-Wha; Oh, Daegun

2018-05-20

In this paper, a modified 3D multiple signal classification (MUSIC) algorithm is proposed for joint estimation of range, azimuth, and elevation angles of K-band radar with a small 2 × 2 horn antenna array. Three channels of the 2 × 2 horn antenna array are utilized as receiving channels, and the other one is a transmitting antenna. The proposed modified 3D MUSIC is designed to make use of a stacked autocorrelation matrix, whose element matrices are related to each other in the spatial domain. An augmented 2D steering vector based on the stacked autocorrelation matrix is proposed for the modified 3D MUSIC, instead of the conventional 3D steering vector. The effectiveness of the proposed modified 3D MUSIC is verified through implementation with a K-band frequency-modulated continuous-wave (FMCW) radar with the 2 × 2 horn antenna array through a variety of experiments in a chamber.

Direction of Radio Finding via MUSIC (Multiple Signal Classification) Algorithm for Hardware Design System

NASA Astrophysics Data System (ADS)

Zhang, Zheng

2017-10-01

Concept of radio direction finding systems, which use radio direction finding is based on digital signal processing algorithms. Thus, the radio direction finding system becomes capable to locate and track signals by the both. Performance of radio direction finding significantly depends on effectiveness of digital signal processing algorithms. The algorithm uses the Direction of Arrival (DOA) algorithms to estimate the number of incidents plane waves on the antenna array and their angle of incidence. This manuscript investigates implementation of the DOA algorithms (MUSIC) on the uniform linear array in the presence of white noise. The experiment results exhibit that MUSIC algorithm changed well with the radio direction.

Music Education in Early Childhood Teacher Education: The Impact of a Music Methods Course on Pre-Service Teachers' Perceived Confidence and Competence to Teach Music

ERIC Educational Resources Information Center

Vannatta-Hall, Jennifer Elizabeth

2010-01-01

This study investigated the impact of a music methods course on pre-service early childhood teachers' confidence and competence to teach music. Specifically, this investigation sought to determine if there was a significant change in participants' perceived self-efficacy to teach music following the completion of a 15-week music methods course.…

Comparison of Values in 5th, 6th, 7th and 8th Grade Primary Education Music Class Students'? Workbooks According to Rokeach?s and Akbas's Value Classifications

ERIC Educational Resources Information Center

Çakirer, H. Serdar

2014-01-01

The aim of the present study is to compare the values in the songs of 5th, 6th, 7th and 8th grade primary education music classes students? workbooks according to the value categorizations proposed by Rockeach and Akbas and which values among the categories mentioned are taught to the students in the 5th, 6th, 7th and 8th grade primary education…

The E-music box: an empirical method for exploring the universal capacity for musical production and for social interaction through music

PubMed Central

Novembre, Giacomo; Varlet, Manuel; Muawiyath, Shujau; Stevens, Catherine J.; Keller, Peter E.

2015-01-01

Humans are assumed to have a natural—universal—predisposition for making music and for musical interaction. Research in this domain is, however, typically conducted with musically trained individuals, and therefore confounded with expertise. Here, we present a rediscovered and updated invention—the E-music box—that we establish as an empirical method to investigate musical production and interaction in everyone. The E-music box transforms rotatory cyclical movements into pre-programmable digital musical output, with tempo varying according to rotation speed. The user’s movements are coded as continuous oscillatory data, which can be analysed using linear or nonlinear analytical tools. We conducted a proof-of-principle experiment to demonstrate that, using this method, pairs of non-musically trained individuals can interact according to conventional musical practices (leader/follower roles and lower-pitch dominance). The results suggest that the E-music box brings ‘active’ and ‘interactive’ musical capacities within everyone’s reach. We discuss the potential of this method for exploring the universal predisposition for music making and interaction in developmental and cross-cultural contexts, and for neurologic musical therapy and rehabilitation. PMID:26715993

The E-music box: an empirical method for exploring the universal capacity for musical production and for social interaction through music.

PubMed

Novembre, Giacomo; Varlet, Manuel; Muawiyath, Shujau; Stevens, Catherine J; Keller, Peter E

2015-11-01

Humans are assumed to have a natural-universal-predisposition for making music and for musical interaction. Research in this domain is, however, typically conducted with musically trained individuals, and therefore confounded with expertise. Here, we present a rediscovered and updated invention-the E-music box-that we establish as an empirical method to investigate musical production and interaction in everyone. The E-music box transforms rotatory cyclical movements into pre-programmable digital musical output, with tempo varying according to rotation speed. The user's movements are coded as continuous oscillatory data, which can be analysed using linear or nonlinear analytical tools. We conducted a proof-of-principle experiment to demonstrate that, using this method, pairs of non-musically trained individuals can interact according to conventional musical practices (leader/follower roles and lower-pitch dominance). The results suggest that the E-music box brings 'active' and 'interactive' musical capacities within everyone's reach. We discuss the potential of this method for exploring the universal predisposition for music making and interaction in developmental and cross-cultural contexts, and for neurologic musical therapy and rehabilitation.

Time-Reversal MUSIC Imaging with Time-Domain Gating Technique

NASA Astrophysics Data System (ADS)

Choi, Heedong; Ogawa, Yasutaka; Nishimura, Toshihiko; Ohgane, Takeo

A time-reversal (TR) approach with multiple signal classification (MUSIC) provides super-resolution for detection and localization using multistatic data collected from an array antenna system. The theory of TR-MUSIC assumes that the number of antenna elements is greater than that of scatterers (targets). Furthermore, it requires many sets of frequency-domain data (snapshots) in seriously noisy environments. Unfortunately, these conditions are not practical for real environments due to the restriction of a reasonable antenna structure as well as limited measurement time. We propose an approach that treats both noise reduction and relaxation of the transceiver restriction by using a time-domain gating technique accompanied with the Fourier transform before applying the TR-MUSIC imaging algorithm. Instead of utilizing the conventional multistatic data matrix (MDM), we employ a modified MDM obtained from the gating technique. The resulting imaging functions yield more reliable images with only a few snapshots regardless of the limitation of the antenna arrays.

Top–Down Modulation on the Perception and Categorization of Identical Pitch Contours in Speech and Music

PubMed Central

Weidema, Joey L.; Roncaglia-Denissen, M. P.; Honing, Henkjan

2016-01-01

Whether pitch in language and music is governed by domain-specific or domain-general cognitive mechanisms is contentiously debated. The aim of the present study was to investigate whether mechanisms governing pitch contour perception operate differently when pitch information is interpreted as either speech or music. By modulating listening mode, this study aspired to demonstrate that pitch contour perception relies on domain-specific cognitive mechanisms, which are regulated by top–down influences from language and music. Three groups of participants (Mandarin speakers, Dutch speaking non-musicians, and Dutch musicians) were exposed to identical pitch contours, and tested on their ability to identify these contours in a language and musical context. Stimuli consisted of disyllabic words spoken in Mandarin, and melodic tonal analogs, embedded in a linguistic and melodic carrier phrase, respectively. Participants classified identical pitch contours as significantly different depending on listening mode. Top–down influences from language appeared to alter the perception of pitch contour in speakers of Mandarin. This was not the case for non-musician speakers of Dutch. Moreover, this effect was lacking in Dutch speaking musicians. The classification patterns of pitch contours in language and music seem to suggest that domain-specific categorization is modulated by top–down influences from language and music. PMID:27313552

Quaternion-valued single-phase model for three-phase power system

NASA Astrophysics Data System (ADS)

Gou, Xiaoming; Liu, Zhiwen; Liu, Wei; Xu, Yougen; Wang, Jiabin

2018-03-01

In this work, a quaternion-valued model is proposed in lieu of the Clarke's α, β transformation to convert three-phase quantities to a hypercomplex single-phase signal. The concatenated signal can be used for harmonic distortion detection in three-phase power systems. In particular, the proposed model maps all the harmonic frequencies into frequencies in the quaternion domain, while the Clarke's transformation-based methods will fail to detect the zero sequence voltages. Based on the quaternion-valued model, the Fourier transform, the minimum variance distortionless response (MVDR) algorithm and the multiple signal classification (MUSIC) algorithm are presented as examples to detect harmonic distortion. Simulations are provided to demonstrate the potentials of this new modeling method.

Hierarchical vs non-hierarchical audio indexation and classification for video genres

NASA Astrophysics Data System (ADS)

Dammak, Nouha; BenAyed, Yassine

2018-04-01

In this paper, Support Vector Machines (SVMs) are used for segmenting and indexing video genres based on only audio features extracted at block level, which has a prominent asset by capturing local temporal information. The main contribution of our study is to show the wide effect on the classification accuracies while using an hierarchical categorization structure based on Mel Frequency Cepstral Coefficients (MFCC) audio descriptor. In fact, the classification consists in three common video genres: sports videos, music clips and news scenes. The sub-classification may divide each genre into several multi-speaker and multi-dialect sub-genres. The validation of this approach was carried out on over 360 minutes of video span yielding a classification accuracy of over 99%.

Affective brain-computer music interfacing

NASA Astrophysics Data System (ADS)

Daly, Ian; Williams, Duncan; Kirke, Alexis; Weaver, James; Malik, Asad; Hwang, Faustina; Miranda, Eduardo; Nasuto, Slawomir J.

2016-08-01

Objective. We aim to develop and evaluate an affective brain-computer music interface (aBCMI) for modulating the affective states of its users. Approach. An aBCMI is constructed to detect a user's current affective state and attempt to modulate it in order to achieve specific objectives (for example, making the user calmer or happier) by playing music which is generated according to a specific affective target by an algorithmic music composition system and a case-based reasoning system. The system is trained and tested in a longitudinal study on a population of eight healthy participants, with each participant returning for multiple sessions. Main results. The final online aBCMI is able to detect its users current affective states with classification accuracies of up to 65% (3 class, p\\lt 0.01) and modulate its user's affective states significantly above chance level (p\\lt 0.05). Significance. Our system represents one of the first demonstrations of an online aBCMI that is able to accurately detect and respond to user's affective states. Possible applications include use in music therapy and entertainment.

An Analysis of Light Periods of BL Lac Object S5 0716+714 with the MUSIC Algorithm

NASA Astrophysics Data System (ADS)

Tang, Jie

2012-07-01

The multiple signal classification (MUSIC) algorithm is introduced to the estimation of light periods of BL Lac objects. The principle of the MUSIC algorithm is given, together with a testing on its spectral resolution by using a simulative signal. From a lot of literature, we have collected a large number of effective observational data of the BL Lac object S5 0716+714 in the three optical wavebands V, R, and I from 1994 to 2008. The light periods of S5 0716+714 are obtained by means of the MUSIC algorithm and average periodogram algorithm, respectively. It is found that there exist two major periodic components, one is the period of (3.33±0.08) yr, another is the period of (1.24±0.01) yr. The comparison of the performances of periodicity analysis of two algorithms indicates that the MUSIC algorithm has a smaller requirement on the sample length, as well as a good spectral resolution and anti-noise ability, to improve the accuracy of periodicity analysis in the case of short sample length.

Comparison of Frequency-Domain Array Methods for Studying Earthquake Rupture Process

NASA Astrophysics Data System (ADS)

Sheng, Y.; Yin, J.; Yao, H.

2014-12-01

Seismic array methods, in both time- and frequency- domains, have been widely used to study the rupture process and energy radiation of earthquakes. With better spatial resolution, the high-resolution frequency-domain methods, such as Multiple Signal Classification (MUSIC) (Schimdt, 1986; Meng et al., 2011) and the recently developed Compressive Sensing (CS) technique (Yao et al., 2011, 2013), are revealing new features of earthquake rupture processes. We have performed various tests on the methods of MUSIC, CS, minimum-variance distortionless response (MVDR) Beamforming and conventional Beamforming in order to better understand the advantages and features of these methods for studying earthquake rupture processes. We use the ricker wavelet to synthesize seismograms and use these frequency-domain techniques to relocate the synthetic sources we set, for instance, two sources separated in space but, their waveforms completely overlapping in the time domain. We also test the effects of the sliding window scheme on the recovery of a series of input sources, in particular, some artifacts that are caused by the sliding window scheme. Based on our tests, we find that CS, which is developed from the theory of sparsity inversion, has relatively high spatial resolution than the other frequency-domain methods and has better performance at lower frequencies. In high-frequency bands, MUSIC, as well as MVDR Beamforming, is more stable, especially in the multi-source situation. Meanwhile, CS tends to produce more artifacts when data have poor signal-to-noise ratio. Although these techniques can distinctly improve the spatial resolution, they still produce some artifacts along with the sliding of the time window. Furthermore, we propose a new method, which combines both the time-domain and frequency-domain techniques, to suppress these artifacts and obtain more reliable earthquake rupture images. Finally, we apply this new technique to study the 2013 Okhotsk deep mega earthquake in order to better capture the rupture characteristics (e.g., rupture area and velocity) of this earthquake.

A Robust Real Time Direction-of-Arrival Estimation Method for Sequential Movement Events of Vehicles.

PubMed

Liu, Huawei; Li, Baoqing; Yuan, Xiaobing; Zhou, Qianwei; Huang, Jingchang

2018-03-27

Parameters estimation of sequential movement events of vehicles is facing the challenges of noise interferences and the demands of portable implementation. In this paper, we propose a robust direction-of-arrival (DOA) estimation method for the sequential movement events of vehicles based on a small Micro-Electro-Mechanical System (MEMS) microphone array system. Inspired by the incoherent signal-subspace method (ISM), the method that is proposed in this work employs multiple sub-bands, which are selected from the wideband signals with high magnitude-squared coherence to track moving vehicles in the presence of wind noise. The field test results demonstrate that the proposed method has a better performance in emulating the DOA of a moving vehicle even in the case of severe wind interference than the narrowband multiple signal classification (MUSIC) method, the sub-band DOA estimation method, and the classical two-sided correlation transformation (TCT) method.

Musical Practices and Methods in Music Lessons: A Comparative Study of Estonian and Finnish General Music Education

ERIC Educational Resources Information Center

Sepp, Anu; Ruokonen, Inkeri; Ruismäki, Heikki

2015-01-01

This article reveals the results of a comparative study of Estonian and Finnish general music education. The aim was to find out what music teaching practices and approaches/methods were mostly used, what music education perspectives supported those practices. The data were collected using questionnaires and the results of 107 Estonian and 50…

A Direct Position-Determination Approach for Multiple Sources Based on Neural Network Computation.

PubMed

Chen, Xin; Wang, Ding; Yin, Jiexin; Wu, Ying

2018-06-13

The most widely used localization technology is the two-step method that localizes transmitters by measuring one or more specified positioning parameters. Direct position determination (DPD) is a promising technique that directly localizes transmitters from sensor outputs and can offer superior localization performance. However, existing DPD algorithms such as maximum likelihood (ML)-based and multiple signal classification (MUSIC)-based estimations are computationally expensive, making it difficult to satisfy real-time demands. To solve this problem, we propose the use of a modular neural network for multiple-source DPD. In this method, the area of interest is divided into multiple sub-areas. Multilayer perceptron (MLP) neural networks are employed to detect the presence of a source in a sub-area and filter sources in other sub-areas, and radial basis function (RBF) neural networks are utilized for position estimation. Simulation results show that a number of appropriately trained neural networks can be successfully used for DPD. The performance of the proposed MLP-MLP-RBF method is comparable to the performance of the conventional MUSIC-based DPD algorithm for various signal-to-noise ratios and signal power ratios. Furthermore, the MLP-MLP-RBF network is less computationally intensive than the classical DPD algorithm and is therefore an attractive choice for real-time applications.

Example-Based Automatic Music-Driven Conventional Dance Motion Synthesis

DOE Office of Scientific and Technical Information (OSTI.GOV)

Xu, Songhua; Fan, Rukun; Geng, Weidong

We introduce a novel method for synthesizing dance motions that follow the emotions and contents of a piece of music. Our method employs a learning-based approach to model the music to motion mapping relationship embodied in example dance motions along with those motions' accompanying background music. A key step in our method is to train a music to motion matching quality rating function through learning the music to motion mapping relationship exhibited in synchronized music and dance motion data, which were captured from professional human dance performance. To generate an optimal sequence of dance motion segments to match with amore » piece of music, we introduce a constraint-based dynamic programming procedure. This procedure considers both music to motion matching quality and visual smoothness of a resultant dance motion sequence. We also introduce a two-way evaluation strategy, coupled with a GPU-based implementation, through which we can execute the dynamic programming process in parallel, resulting in significant speedup. To evaluate the effectiveness of our method, we quantitatively compare the dance motions synthesized by our method with motion synthesis results by several peer methods using the motions captured from professional human dancers' performance as the gold standard. We also conducted several medium-scale user studies to explore how perceptually our dance motion synthesis method can outperform existing methods in synthesizing dance motions to match with a piece of music. These user studies produced very positive results on our music-driven dance motion synthesis experiments for several Asian dance genres, confirming the advantages of our method.« less

Computationally Efficient Radio Frequency Source Localization for Radio Interferometric Arrays

NASA Astrophysics Data System (ADS)

Steeb, J.-W.; Davidson, David B.; Wijnholds, Stefan J.

2018-03-01

Radio frequency interference (RFI) is an ever-increasing problem for remote sensing and radio astronomy, with radio telescope arrays especially vulnerable to RFI. Localizing the RFI source is the first step to dealing with the culprit system. In this paper, a new localization algorithm for interferometric arrays with low array beam sidelobes is presented. The algorithm has been adapted to work both in the near field and far field (only the direction of arrival can be recovered when the source is in the far field). In the near field the computational complexity of the algorithm is linear with search grid size compared to cubic scaling of the state-of-the-art 3-D MUltiple SIgnal Classification (MUSIC) method. The new method is as accurate as 3-D MUSIC. The trade-off is that the proposed algorithm requires a once-off a priori calculation and storing of weighting matrices. The accuracy of the algorithm is validated using data generated by low-frequency array while a hexacopter was flying around it and broadcasting a continuous-wave signal. For the flight, the mean distance between the differential GPS positions and the corresponding estimated positions of the hexacopter is 2 m at a wavelength of 6.7 m.

Data-driven analysis of functional brain interactions during free listening to music and speech.

PubMed

Fang, Jun; Hu, Xintao; Han, Junwei; Jiang, Xi; Zhu, Dajiang; Guo, Lei; Liu, Tianming

2015-06-01

Natural stimulus functional magnetic resonance imaging (N-fMRI) such as fMRI acquired when participants were watching video streams or listening to audio streams has been increasingly used to investigate functional mechanisms of the human brain in recent years. One of the fundamental challenges in functional brain mapping based on N-fMRI is to model the brain's functional responses to continuous, naturalistic and dynamic natural stimuli. To address this challenge, in this paper we present a data-driven approach to exploring functional interactions in the human brain during free listening to music and speech streams. Specifically, we model the brain responses using N-fMRI by measuring the functional interactions on large-scale brain networks with intrinsically established structural correspondence, and perform music and speech classification tasks to guide the systematic identification of consistent and discriminative functional interactions when multiple subjects were listening music and speech in multiple categories. The underlying premise is that the functional interactions derived from N-fMRI data of multiple subjects should exhibit both consistency and discriminability. Our experimental results show that a variety of brain systems including attention, memory, auditory/language, emotion, and action networks are among the most relevant brain systems involved in classic music, pop music and speech differentiation. Our study provides an alternative approach to investigating the human brain's mechanism in comprehension of complex natural music and speech.

Music in mind, a randomized controlled trial of music therapy for young people with behavioural and emotional problems: study protocol.

PubMed

Porter, Sam; Holmes, Valerie; McLaughlin, Katrina; Lynn, Fiona; Cardwell, Chris; Braiden, Hannah-Jane; Doran, Jackie; Rogan, Sheelagh

2012-10-01

This article is a report of a trial protocol to determine if improvizational music therapy leads to clinically significant improvement in communication and interaction skills for young people experiencing social, emotional or behavioural problems. Music therapy is often considered an effective intervention for young people experiencing social, emotional or behavioural difficulties. However, this assumption lacks empirical evidence. Music in mind is a multi-centred single-blind randomized controlled trial involving 200 young people (aged 8-16 years) and their parents. Eligible participants will have a working diagnosis within the ambit of international classification of disease 10 mental and behavioural disorders and will be recruited over 15 months from six centres within the Child and Adolescent Mental Health Services of a large health and social care trust in Northern Ireland. Participants will be randomly allocated in a 1:1 ratio to receive standard care alone or standard care plus 12 weekly music therapy sessions delivered by the Northern Ireland Music Therapy Trust. Baseline data will be collected from young people and their parents using standardized outcome measures for communicative and interaction skills (primary endpoint), self-esteem, social functioning, depression and family functioning. Follow-up data will be collected 1 and 13 weeks after the final music therapy session. A cost-effectiveness analysis will also be carried out. This study will be the largest trial to date examining the effect of music therapy on young people experiencing social, emotional or behavioural difficulties and will provide empirical evidence for the use of music therapy among this population. Trial registration. This study is registered in the ISRCTN Register, ISRCTN96352204. Ethical approval was gained in October 2010. © 2012 Blackwell Publishing Ltd.

Music of the 7Ts: Predicting and Decoding Multivoxel fMRI Responses with Acoustic, Schematic, and Categorical Music Features

PubMed Central

Casey, Michael A.

2017-01-01

Underlying the experience of listening to music are parallel streams of auditory, categorical, and schematic qualia, whose representations and cortical organization remain largely unresolved. We collected high-field (7T) fMRI data in a music listening task, and analyzed the data using multivariate decoding and stimulus-encoding models. Twenty subjects participated in the experiment, which measured BOLD responses evoked by naturalistic listening to twenty-five music clips from five genres. Our first analysis applied machine classification to the multivoxel patterns that were evoked in temporal cortex. Results yielded above-chance levels for both stimulus identification and genre classification–cross-validated by holding out data from multiple of the stimuli during model training and then testing decoding performance on the held-out data. Genre model misclassifications were significantly correlated with those in a corresponding behavioral music categorization task, supporting the hypothesis that geometric properties of multivoxel pattern spaces underlie observed musical behavior. A second analysis employed a spherical searchlight regression analysis which predicted multivoxel pattern responses to music features representing melody and harmony across a large area of cortex. The resulting prediction-accuracy maps yielded significant clusters in the temporal, frontal, parietal, and occipital lobes, as well as in the parahippocampal gyrus and the cerebellum. These maps provide evidence in support of our hypothesis that geometric properties of music cognition are neurally encoded as multivoxel representational spaces. The maps also reveal a cortical topography that differentially encodes categorical and absolute-pitch information in distributed and overlapping networks, with smaller specialized regions that encode tonal music information in relative-pitch representations. PMID:28769835

Spectral unmixing of urban land cover using a generic library approach

NASA Astrophysics Data System (ADS)

Degerickx, Jeroen; Lordache, Marian-Daniel; Okujeni, Akpona; Hermy, Martin; van der Linden, Sebastian; Somers, Ben

2016-10-01

Remote sensing based land cover classification in urban areas generally requires the use of subpixel classification algorithms to take into account the high spatial heterogeneity. These spectral unmixing techniques often rely on spectral libraries, i.e. collections of pure material spectra (endmembers, EM), which ideally cover the large EM variability typically present in urban scenes. Despite the advent of several (semi-) automated EM detection algorithms, the collection of such image-specific libraries remains a tedious and time-consuming task. As an alternative, we suggest the use of a generic urban EM library, containing material spectra under varying conditions, acquired from different locations and sensors. This approach requires an efficient EM selection technique, capable of only selecting those spectra relevant for a specific image. In this paper, we evaluate and compare the potential of different existing library pruning algorithms (Iterative Endmember Selection and MUSIC) using simulated hyperspectral (APEX) data of the Brussels metropolitan area. In addition, we develop a new hybrid EM selection method which is shown to be highly efficient in dealing with both imagespecific and generic libraries, subsequently yielding more robust land cover classification results compared to existing methods. Future research will include further optimization of the proposed algorithm and additional tests on both simulated and real hyperspectral data.

Music as a method of coping with cancer: A qualitative study among cancer patients in Sweden

PubMed Central

Ahmadi, Fereshteh

2013-01-01

Background: This study investigated patients’ understanding of the role of music in coping and in influencing their well-being. Methods: A qualitative study was conducted based on semi-structured interviews with 17 cancer patients. Participants were chosen from a group of patients who had listened to or played music as a means of coping with their illness. Results: The study shows the importance of considering the roles that different kinds of music play in coping with cancer. The music of nature, healing music, religious music and cheerful music each have different benefits for patients. Conclusions: A patient's situation and his or her individual characteristics determine the types of music that can act as a useful or harmful coping strategy. Therefore, it is essential to investigate the types of individual characteristics that can make listening to different kinds of music a helpful or harmful coping method. PMID:23805166

[Life paths and motifs. Meeting points of hypnotherapy and music therapy].

PubMed

Vas, P József

2013-01-01

Effects both of hypnotherapy and music therapy are originated from an attunement as supposed by the author. Either to a hypnotherapist's suggestions or to a piece of music one is able to be tuned in them. On one hand, the hypnotherapist's prosody, which can be called as melodic declamation seen as a musical phenomenon transmitting emotions. On the other hand, music has got emotional and visceral impacts. As a meeting points of these two methods four possibilities are shown by the author: 1. musical analogies of vitality affects ; 2. paternal and maternal archetypes in music; 3. analogies of copings in music; 4. corrections of psychological deficits by virtue of hypno- and music therapy with parallel used energy healing method. Finally, the author suggests, that hypnosis is regarded as an inductive method expressing its effect from outside to inside; music, however is likely to be employed as a deductive therapeutic tool, effecting from inside to outside.

Emotion detection model of Filipino music

NASA Astrophysics Data System (ADS)

Noblejas, Kathleen Alexis; Isidro, Daryl Arvin; Samonte, Mary Jane C.

2017-02-01

This research explored the creation of a model to detect emotion from Filipino songs. The emotion model used was based from Paul Ekman's six basic emotions. The songs were classified into the following genres: kundiman, novelty, pop, and rock. The songs were annotated by a group of music experts based on the emotion the song induces to the listener. Musical features of the songs were extracted using jAudio while the lyric features were extracted by Bag-of- Words feature representation. The audio and lyric features of the Filipino songs were extracted for classification by the chosen three classifiers, Naïve Bayes, Support Vector Machines, and k-Nearest Neighbors. The goal of the research was to know which classifier would work best for Filipino music. Evaluation was done by 10-fold cross validation and accuracy, precision, recall, and F-measure results were compared. Models were also tested with unknown test data to further determine the models' accuracy through the prediction results.

A Preliminary Investigation of a Specialized Music Therapy Model for Children with Disabilities Delivered in a Classroom Setting.

PubMed

Mendelson, Jenna; White, Yasmine; Hans, Laura; Adebari, Richard; Schmid, Lorrie; Riggsbee, Jan; Goldsmith, Ali; Ozler, Burcu; Buehne, Kristen; Jones, Sarah; Shapleton, Jennifer; Dawson, Geraldine

2016-01-01

Music therapy is gaining popularity as an intervention strategy for children with developmental disabilities, including autism spectrum disorder (ASD). This study was a pilot investigation of a classroom-based music-based intervention, Voices Together® , for improving communication skills in children with ASD and children with intellectual disabilities. Four local public elementary school special education classrooms, serving 5 children with a classification of autistic disorder and 32 children with intellectual disability without autism, were randomly selected to receive one of two levels of exposure to Voices Together music therapy: "long-term" (15 weeks beginning in January 2015 (Time 1), n = 14) or "short-term" (7 weeks beginning 7 weeks later in February (Time 2), n = 17). Using observational ratings, investigators reliably scored participants live in terms of their level of verbal responsiveness to prompts during three songs featured each week of the program. Both groups demonstrated increases in verbal responses over time; however, only the long-term group demonstrated significant within-group increases. Preliminary findings suggest that music therapy delivered in a classroom in 45-minute weekly sessions for 15 weeks can promote improvements in verbal responsiveness among individuals with autism and other developmental disabilities. Findings warrant further investigation into the efficacy of classroom-based music therapy programs.

Subspace-based analysis of the ERT inverse problem

NASA Astrophysics Data System (ADS)

Ben Hadj Miled, Mohamed Khames; Miller, Eric L.

2004-05-01

In a previous work, we proposed a source-type formulation to the electrical resistance tomography (ERT) problem. Specifically, we showed that inhomogeneities in the medium can be viewed as secondary sources embedded in the homogeneous background medium and located at positions associated with variation in electrical conductivity. Assuming a piecewise constant conductivity distribution, the support of equivalent sources is equal to the boundary of the inhomogeneity. The estimation of the anomaly shape takes the form of an inverse source-type problem. In this paper, we explore the use of subspace methods to localize the secondary equivalent sources associated with discontinuities in the conductivity distribution. Our first alternative is the multiple signal classification (MUSIC) algorithm which is commonly used in the localization of multiple sources. The idea is to project a finite collection of plausible pole (or dipole) sources onto an estimated signal subspace and select those with largest correlations. In ERT, secondary sources are excited simultaneously but in different ways, i.e. with distinct amplitude patterns, depending on the locations and amplitudes of primary sources. If the number of receivers is "large enough", different source configurations can lead to a set of observation vectors that span the data subspace. However, since sources that are spatially close to each other have highly correlated signatures, seperation of such signals becomes very difficult in the presence of noise. To overcome this problem we consider iterative MUSIC algorithms like R-MUSIC and RAP-MUSIC. These recursive algorithms pose a computational burden as they require multiple large combinatorial searches. Results obtained with these algorithms using simulated data of different conductivity patterns are presented.

begin{center} MUSIC Algorithms for Rebar Detection

NASA Astrophysics Data System (ADS)

Leone, G.; Solimene, R.

2012-04-01

In this contribution we consider the problem of detecting and localizing small cross section, with respect to the wavelength, scatterers from their scattered field once a known incident field interrogated the scene where they reside. A pertinent applicative context is rebar detection within concrete pillar. For such a case, scatterers to be detected are represented by rebars themselves or by voids due to their lacking. In both cases, as scatterers have point-like support, a subspace projection method can be conveniently exploited [1]. However, as the field scattered by rebars is stronger than the one due to voids, it is expected that the latter can be difficult to be detected. In order to circumvent this problem, in this contribution we adopt a two-step MUltiple SIgnal Classification (MUSIC) detection algorithm. In particular, the first stage aims at detecting rebars. Once rebar are detected, their positions are exploited to update the Green's function and then a further detection scheme is run to locate voids. However, in this second case, background medium encompasses also the rabars. The analysis is conducted numerically for a simplified two-dimensional scalar scattering geometry. More in detail, as is usual in MUSIC algorithm, a multi-view/multi-static single-frequency configuration is considered [2]. Baratonia, G. Leone, R. Pierri, R. Solimene, "Fault Detection in Grid Scattering by a Time-Reversal MUSIC Approach," Porc. Of ICEAA 2011, Turin, 2011. E. A. Marengo, F. K. Gruber, "Subspace-Based Localization and Inverse Scattering of Multiply Scattering Point Targets," EURASIP Journal on Advances in Signal Processing, 2007, Article ID 17342, 16 pages (2007).

Brain source localization: A new method based on MUltiple SIgnal Classification algorithm and spatial sparsity of the field signal for electroencephalogram measurements

NASA Astrophysics Data System (ADS)

Vergallo, P.; Lay-Ekuakille, A.

2013-08-01

Brain activity can be recorded by means of EEG (Electroencephalogram) electrodes placed on the scalp of the patient. The EEG reflects the activity of groups of neurons located in the head, and the fundamental problem in neurophysiology is the identification of the sources responsible of brain activity, especially if a seizure occurs and in this case it is important to identify it. The studies conducted in order to formalize the relationship between the electromagnetic activity in the head and the recording of the generated external field allow to know pattern of brain activity. The inverse problem, that is given the sampling field at different electrodes the underlying asset must be determined, is more difficult because the problem may not have a unique solution, or the search for the solution is made difficult by a low spatial resolution which may not allow to distinguish between activities involving sources close to each other. Thus, sources of interest may be obscured or not detected and known method in source localization problem as MUSIC (MUltiple SIgnal Classification) could fail. Many advanced source localization techniques achieve a best resolution by exploiting sparsity: if the number of sources is small as a result, the neural power vs. location is sparse. In this work a solution based on the spatial sparsity of the field signal is presented and analyzed to improve MUSIC method. For this purpose, it is necessary to set a priori information of the sparsity in the signal. The problem is formulated and solved using a regularization method as Tikhonov, which calculates a solution that is the better compromise between two cost functions to minimize, one related to the fitting of the data, and another concerning the maintenance of the sparsity of the signal. At the first, the method is tested on simulated EEG signals obtained by the solution of the forward problem. Relatively to the model considered for the head and brain sources, the result obtained allows to have a significant improvement compared to the classical MUSIC method, with a small margin of uncertainty about the exact location of the sources. In fact, the constraints of the spatial sparsity on the signal field allow to concentrate power in the directions of active sources, and consequently it is possible to calculate the position of the sources within the considered volume conductor. Later, the method is tested on the real EEG data too. The result is in accordance with the clinical report even if improvements are necessary to have further accurate estimates of the positions of the sources.

Describing Elementary Certification Methods across the Elementary Music Career Cycle

ERIC Educational Resources Information Center

Svec, Christina L.

2017-01-01

The purpose of the study was to describe elementary music method choice and certification method choice overall and across the elementary music career cycle. Participants (N = 254) were categorized as Level I or Elementary Division in a southwestern music education association database. The questionnaire included 25 four-point Likert-type items…

Mixed methods research in music therapy research.

PubMed

Bradt, Joke; Burns, Debra S; Creswell, John W

2013-01-01

Music therapists have an ethical and professional responsibility to provide the highest quality care possible to their patients. Much of the time, high quality care is guided by evidence-based practice standards that integrate the most current, available research in making decisions. Accordingly, music therapists need research that integrates multiple ways of knowing and forms of evidence. Mixed methods research holds great promise for facilitating such integration. At this time, there have not been any methodological articles published on mixed methods research in music therapy. The purpose of this article is to introduce mixed methods research as an approach to address research questions relevant to music therapy practice. This article describes the core characteristics of mixed methods research, considers paradigmatic issues related to this research approach, articulates major challenges in conducting mixed methods research, illustrates four basic designs, and provides criteria for evaluating the quality of mixed methods articles using examples of mixed methods research from the music therapy literature. Mixed methods research offers unique opportunities for strengthening the evidence base in music therapy. Recommendations are provided to ensure rigorous implementation of this research approach.

[Music therapy and depression].

PubMed

Van Assche, E; De Backer, J; Vermote, R

2015-01-01

Music therapy is a predominantly non-verbal psychotherapy based on music improvisation, embedded in a therapeutic relationship. This is the reason why music therapy is also used to treat depression. To examine the efficacy of music therapy and to report on the results of recent research into the value of music therapy as a treatment for depression. We reviewed the literature on recent research into music therapy and depression, reporting on the methods used and the results achieved, and we assessed the current position of music therapy for depression in the context of evidence-based scientific research. A wide variety of research methods was used to investigate the effects of using music therapy as a psychotherapy. Most studies focused usually on the added value that music therapy brings to the standard form of psychiatric treatment, when administered with or without psychopharmacological support. Music therapy produced particularly significant and favourable results when used to treat patients with depression. Current research into music therapy and depression points to a significant and persistent reduction in patients' symptoms and to improvements in their quality of life. However, further research is needed with regard to the best methods of illustrating the effects of music therapy.

Voice classification and vocal tract of singers: a study of x-ray images and morphology.

PubMed

Roers, Friederike; Mürbe, Dirk; Sundberg, Johan

2009-01-01

This investigation compares vocal tract dimensions and the classification of singer voices by examining an x-ray material assembled between 1959 and 1991 of students admitted to the solo singing education at the University of Music, Dresden, Germany. A total of 132 images were available to analysis. Different classifications' values of the lengths of the total vocal tract, the pharynx, and mouth cavities as well as of the relative position of the larynx, the height of the palatal arch, and the estimated vocal fold length were analyzed statistically, and some significant differences were found. The length of the pharynx cavity seemed particularly influential on the total vocal tract length, which varied systematically with classification. Also studied were the relationships between voice classification and the body height and weight and the body mass index. The data support the hypothesis that there are consistent morphological vocal tract differences between singers of different voice classifications.

Research and Analysis on the Localization of a 3-D Single Source in Lossy Medium Using Uniform Circular Array

PubMed Central

Xue, Bing; Qu, Xiaodong; Fang, Guangyou; Ji, Yicai

2017-01-01

In this paper, the methods and analysis for estimating the location of a three-dimensional (3-D) single source buried in lossy medium are presented with uniform circular array (UCA). The mathematical model of the signal in the lossy medium is proposed. Using information in the covariance matrix obtained by the sensors’ outputs, equations of the source location (azimuth angle, elevation angle, and range) are obtained. Then, the phase and amplitude of the covariance matrix function are used to process the source localization in the lossy medium. By analyzing the characteristics of the proposed methods and the multiple signal classification (MUSIC) method, the computational complexity and the valid scope of these methods are given. From the results, whether the loss is known or not, we can choose the best method for processing the issues (localization in lossless medium or lossy medium). PMID:28574467

Engaging Musical Practices: A Sourcebook for Middle School General Music

ERIC Educational Resources Information Center

Burton, Suzanne L., Ed.

2012-01-01

Middle school general music may be a student's last encounter with school music. A practical book with accessible pedagogical resources on middle school general music is needed for methods courses and music practitioners' use. The book "Engaging Musical Practices: A Sourcebook for Middle School General Music" presents numerous ways to engage…

Novel angle estimation for bistatic MIMO radar using an improved MUSIC

NASA Astrophysics Data System (ADS)

Li, Jianfeng; Zhang, Xiaofei; Chen, Han

2014-09-01

In this article, we study the problem of angle estimation for bistatic multiple-input multiple-output (MIMO) radar and propose an improved multiple signal classification (MUSIC) algorithm for joint direction of departure (DOD) and direction of arrival (DOA) estimation. The proposed algorithm obtains initial estimations of angles obtained from the signal subspace and uses the local one-dimensional peak searches to achieve the joint estimations of DOD and DOA. The angle estimation performance of the proposed algorithm is better than that of estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm, and is almost the same as that of two-dimensional MUSIC. Furthermore, the proposed algorithm can be suitable for irregular array geometry, obtain automatically paired DOD and DOA estimations, and avoid two-dimensional peak searching. The simulation results verify the effectiveness and improvement of the algorithm.

Spatial aliasing for efficient direction-of-arrival estimation based on steering vector reconstruction

NASA Astrophysics Data System (ADS)

Yan, Feng-Gang; Cao, Bin; Rong, Jia-Jia; Shen, Yi; Jin, Ming

2016-12-01

A new technique is proposed to reduce the computational complexity of the multiple signal classification (MUSIC) algorithm for direction-of-arrival (DOA) estimate using a uniform linear array (ULA). The steering vector of the ULA is reconstructed as the Kronecker product of two other steering vectors, and a new cost function with spatial aliasing at hand is derived. Thanks to the estimation ambiguity of this spatial aliasing, mirror angles mathematically relating to the true DOAs are generated, based on which the full spectral search involved in the MUSIC algorithm is highly compressed into a limited angular sector accordingly. Further complexity analysis and performance studies are conducted by computer simulations, which demonstrate that the proposed estimator requires an extremely reduced computational burden while it shows a similar accuracy to the standard MUSIC.

A Mixed-Methods Investigation of Preservice Music Teaching Efficacy Beliefs and Commitment to Music Teaching

ERIC Educational Resources Information Center

Prichard, Stephanie

2017-01-01

The purpose of this study was to investigate the music teaching efficacy beliefs and commitment to teaching of preservice music teachers enrolled in an introductory music education course. Also explored was the impact of introductory music education course experiences on preservice music teachers' music teaching efficacy beliefs and commitment to…

Fingerprinting of music scores

NASA Astrophysics Data System (ADS)

Irons, Jonathan; Schmucker, Martin

2004-06-01

Publishers of sheet music are generally reluctant in distributing their content via the Internet. Although online sheet music distribution's advantages are numerous the potential risk of Intellectual Property Rights (IPR) infringement, e.g. illegal online distributions, disables any innovation propensity. While active protection techniques only deter external risk factors, additional technology is necessary to adequately treat further risk factors. For several media types including music scores watermarking technology has been developed, which ebeds information in data by suitable data modifications. Furthermore, fingerprinting or perceptual hasing methods have been developed and are being applied especially for audio. These methods allow the identification of content without prior modifications. In this article we motivate the development of watermarking and fingerprinting technologies for sheet music. Outgoing from potential limitations of watermarking methods we explain why fingerprinting methods are important for sheet music and address potential applications. Finally we introduce a condept for fingerprinting of sheet music.

Time-reversal optical tomography: detecting and locating extended targets in a turbid medium

NASA Astrophysics Data System (ADS)

Wu, Binlin; Cai, W.; Xu, M.; Gayen, S. K.

2012-03-01

Time Reversal Optical Tomography (TROT) is developed to locate extended target(s) in a highly scattering turbid medium, and estimate their optical strength and size. The approach uses Diffusion Approximation of Radiative Transfer Equation for light propagation along with Time Reversal (TR) Multiple Signal Classification (MUSIC) scheme for signal and noise subspaces for assessment of target location. A MUSIC pseudo spectrum is calculated using the eigenvectors of the TR matrix T, whose poles provide target locations. Based on the pseudo spectrum contours, retrieval of target size is modeled as an optimization problem, using a "local contour" method. The eigenvalues of T are related to optical strengths of targets. The efficacy of TROT to obtain location, size, and optical strength of one absorptive target, one scattering target, and two absorptive targets, all for different noise levels was tested using simulated data. Target locations were always accurately determined. Error in optical strength estimates was small even at 20% noise level. Target size and shape were more sensitive to noise. Results from simulated data demonstrate high potential for application of TROT in practical biomedical imaging applications.

It Don't Mean a Thing if It Ain't Got Musicality: A Music-First Method for Teaching Historically Rooted Jazz Dance

ERIC Educational Resources Information Center

Liebhard, Erinn

2015-01-01

This article proposes a method for teaching jazz dance technique according to music concepts and prioritizing deep embodiment of music. This method addresses what can be seen as a disconnect between current practices and historical understanding in jazz dance today, a gap that can be bridged with education empowering students to make innovative…

Apply lightweight recognition algorithms in optical music recognition

NASA Astrophysics Data System (ADS)

Pham, Viet-Khoi; Nguyen, Hai-Dang; Nguyen-Khac, Tung-Anh; Tran, Minh-Triet

2015-02-01

The problems of digitalization and transformation of musical scores into machine-readable format are necessary to be solved since they help people to enjoy music, to learn music, to conserve music sheets, and even to assist music composers. However, the results of existing methods still require improvements for higher accuracy. Therefore, the authors propose lightweight algorithms for Optical Music Recognition to help people to recognize and automatically play musical scores. In our proposal, after removing staff lines and extracting symbols, each music symbol is represented as a grid of identical M ∗ N cells, and the features are extracted and classified with multiple lightweight SVM classifiers. Through experiments, the authors find that the size of 10 ∗ 12 cells yields the highest precision value. Experimental results on the dataset consisting of 4929 music symbols taken from 18 modern music sheets in the Synthetic Score Database show that our proposed method is able to classify printed musical scores with accuracy up to 99.56%.

A humming retrieval system based on music fingerprint

NASA Astrophysics Data System (ADS)

Han, Xingkai; Cao, Baiyu

2011-10-01

In this paper, we proposed an improved music information retrieval method utilizing the music fingerprint. The goal of this method is to represent the music with compressed musical information. Based on the selected MIDI files, which are generated automatically as our music target database, we evaluate the accuracy, effectiveness, and efficiency of this method. In this research we not only extract the feature sequence, which can represent the file effectively, from the query and melody database, but also make it possible for retrieving the results in an innovative way. We investigate on the influence of noise to the performance of our system. As experimental result shows, the retrieval accuracy arriving at up to91% without noise is pretty well

[Parameters of phoniatric examination of solo vocalists].

PubMed

Mitrović, Slobodan; Jović, Rajko; Aleksić, Vesna; Cvejić, Biserka

2002-01-01

A phoniatrist analyzes the professional's voice at the beginning of his vocal studies or career but also later, in cases of voice disorder. Phoniatric examination of professional singers must be done according to "all inclusive" protocols of examination. Such protocols must establish the status of basic elements of phonatory system: activator, generator and resonator of voice and articulatory space. All patients requiring phoniatric examination no matter if they are candidates for professional singers, need to provide anamnestic data about their previous problems regarding voice or singing. This examination is necessary and it must include: examination of nose, cavum oris, pharynx, ears and larynx. This analysis is based on evaluation of physiological and pathophysiological manifestations of voice. Determination of musical voice range during phoniatric examination does not intend to make any classification of voice, nor to suggest to vocal teacher what he should count upon from future singers. Musical range can be determined only by a phoniatrist skilled in music or with musical training, but first of all vocal teacher. These methods are used for examination of phonatory function, or laryngeal pathology. They are not invasive and give objective and quantitative information. They include: laryngostroboscopy, spectral analysis of voice (sonography) and fundamental parameters of voice signal (computer program). Articulation is very important for solo singers, because good articulation contributes to qualitative emission of sound and expression of emotions. Tonal-threshold audiometry is performed as a hearing test. They include rhinomanometry, vital capacity measurements, maximal phonation time and phonation quotient. Phoniatric examination is a necessary proceeding which must be performed before admission to the academy of solo singing, and then during singers' education and career. The phoniatric protocol must include a minimal number of parameters, which can be increased if required. All parameters of phoniatric examination must be adequately evaluated by experts.

Movement-to-music computer technology: a developmental play experience for children with severe physical disabilities.

PubMed

Tam, Cynthia; Schwellnus, Heidi; Eaton, Ceilidh; Hamdani, Yani; Lamont, Andrea; Chau, Tom

2007-01-01

Children with severe physical disabilities often lack the physical skills to explore their environment independently, and to play with toys or musical instruments. The movement-to-music (MTM) system is an affordable computer system that allows children with limited movements to play and create music. The present study explored parents' experiences of using the MTM system with their children. A qualitative methodology employing in-depth interview techniques was used with six mothers and their children. The themes extracted from the data were organized under two main concepts of the International Classification of Functioning, Disability, and Health (ICF) (WHO, 2001) framework. The results showed that the MTM expanded horizons for the child along the ICF health dimensions and the MTM had a positive impact on ICF environmental determinants of health. The small sample size should be noted as a limitation of this study. Further research should be carried out with a larger sample of children with restricted mobility to obtain a better understanding of the impact of MTM technology on children's psychosocial development.

The Basic Principles and Methods of the Music Curriculum for the General Education School.

ERIC Educational Resources Information Center

Kabalevskii, Dmitrii

1988-01-01

Delineates the foundations of Dmitri Kabalevskii's music curriculum for general education in the Soviet Union. Stresses teaching music as part of life itself. Bases teaching principles and methods on the song, dance, and march, termed "The Three Whales." Offers extensive lesson plans focusing on first grade music activities. (CH)

The use of music in aged care facilities: A mixed-methods study.

PubMed

Garrido, Sandra; Dunne, Laura; Perz, Janette; Chang, Esther; Stevens, Catherine J

2018-02-01

Music is frequently used in aged care, being easily accessible and cost-effective. Research indicates that certain types of musical engagement hold greater benefits than others. However, it is not clear how effectively music is utilized in aged care facilities and what the barriers are to its further use. This study used a mixed-methods paradigm, surveying 46 aged care workers and conducting in-depth interviews with 5, to explore how music is used in aged care facilities in Australia, staff perceptions of the impact of music on residents, and the barriers to more effective implementation of music in aged care settings.

Coarse-graining time series data: Recurrence plot of recurrence plots and its application for music

NASA Astrophysics Data System (ADS)

Fukino, Miwa; Hirata, Yoshito; Aihara, Kazuyuki

2016-02-01

We propose a nonlinear time series method for characterizing two layers of regularity simultaneously. The key of the method is using the recurrence plots hierarchically, which allows us to preserve the underlying regularities behind the original time series. We demonstrate the proposed method with musical data. The proposed method enables us to visualize both the local and the global musical regularities or two different features at the same time. Furthermore, the determinism scores imply that the proposed method may be useful for analyzing emotional response to the music.

Coarse-graining time series data: Recurrence plot of recurrence plots and its application for music.

PubMed

Fukino, Miwa; Hirata, Yoshito; Aihara, Kazuyuki

2016-02-01

We propose a nonlinear time series method for characterizing two layers of regularity simultaneously. The key of the method is using the recurrence plots hierarchically, which allows us to preserve the underlying regularities behind the original time series. We demonstrate the proposed method with musical data. The proposed method enables us to visualize both the local and the global musical regularities or two different features at the same time. Furthermore, the determinism scores imply that the proposed method may be useful for analyzing emotional response to the music.

The High/Scope Preschool Key Experiences: Essential Elements of Young Children's Learning.

ERIC Educational Resources Information Center

Hohmann, Mary

2002-01-01

Discusses High/Scope's preschool key experiences (a set of 58 statements that describe young children's social, cognitive, and physical development). The key experiences are grouped into 10 major developmental areas (creative representation, language and literacy, social relations, movement, music, classification, seriation, number, space, and…

MUSIC algorithms for rebar detection

NASA Astrophysics Data System (ADS)

Solimene, Raffaele; Leone, Giovanni; Dell'Aversano, Angela

2013-12-01

The MUSIC (MUltiple SIgnal Classification) algorithm is employed to detect and localize an unknown number of scattering objects which are small in size as compared to the wavelength. The ensemble of objects to be detected consists of both strong and weak scatterers. This represents a scattering environment challenging for detection purposes as strong scatterers tend to mask the weak ones. Consequently, the detection of more weakly scattering objects is not always guaranteed and can be completely impaired when the noise corrupting data is of a relatively high level. To overcome this drawback, here a new technique is proposed, starting from the idea of applying a two-stage MUSIC algorithm. In the first stage strong scatterers are detected. Then, information concerning their number and location is employed in the second stage focusing only on the weak scatterers. The role of an adequate scattering model is emphasized to improve drastically detection performance in realistic scenarios.

[Jose Ingenieros and the amusias: the beginning of the neuropsychology in Argentina].

PubMed

Allegri, R F; Roman, F N

2018-05-16

The Argentine neuropsychological school is born of the hand of the European school and is part of the beginning of the Experimental Psychology. In 1896 Horacio Pinero creates the first Department of Psychology at the University of Buenos Aires and in 1898 the first laboratory of Experimental Psychology is annexed. Jose Ingeniero, psychiatrist, neurologist, politician and above all sociologist publishes in France his work about the musical aphasia, the first neuropsychological work with international significance. In the same redeems to Charcot instead of to Knoblauch like the first one to describe the amusias, it speaks of an intelligence instead of a musical language and proposes a new classification and a methodology of assessment with a neurological-psychiatric integrative perspective. This article gave rise to this book in French on the musical language and its hysterical alterations awarded by the Academy of Medicine of Paris.

Electromagnetic MUSIC-type imaging of perfectly conducting, arc-like cracks at single frequency

NASA Astrophysics Data System (ADS)

Park, Won-Kwang; Lesselier, Dominique

2009-11-01

We propose a non-iterative MUSIC (MUltiple SIgnal Classification)-type algorithm for the time-harmonic electromagnetic imaging of one or more perfectly conducting, arc-like cracks found within a homogeneous space R2. The algorithm is based on a factorization of the Multi-Static Response (MSR) matrix collected in the far-field at a single, nonzero frequency in either Transverse Magnetic (TM) mode (Dirichlet boundary condition) or Transverse Electric (TE) mode (Neumann boundary condition), followed by the calculation of a MUSIC cost functional expected to exhibit peaks along the crack curves each half a wavelength. Numerical experimentation from exact, noiseless and noisy data shows that this is indeed the case and that the proposed algorithm behaves in robust manner, with better results in the TM mode than in the TE mode for which one would have to estimate the normal to the crack to get the most optimal results.

Effects of placement point of background music on shopping website.

PubMed

Lai, Chien-Jung; Chiang, Chia-Chi

2012-01-01

Consumer on-line behaviors are more important than ever due to highly growth of on-line shopping. The purposes of this study were to design placement methods of background music for shopping website and examine the effect on browsers' emotional and cognitive response. Three placement points of background music during the browsing, i.e. 2 min., 4 min., and 6 min. from the start of browsing were considered for entry points. Both browsing without music (no music) and browsing with constant music volume (full music) were treated as control groups. Participants' emotional state, approach-avoidance behavior intention, and action to adjust music volume were collected. Results showed that participants had a higher level of pleasure, arousal and approach behavior intention for the three placement points than for no music and full music. Most of the participants for full music (5/6) adjusted the background music. Only 16.7% (3/18) participants for other levels turn off the background music. The results indicate that playing background music after the start of browsing is benefit for on-line shopping atmosphere. It is inappropriate to place background music at the start of browsing shopping website. The marketer must manipulated placement methods of background music for a web store carefully.

Some New Methods of Music Synthesis.

DTIC Science & Technology

1980-08-01

AD-AO90 130 MASSACHUSETTS INST OF TECH CAMBRIDGE LAB FOR COMPUTE-ETC F/6 9/2 OME ME NW METHODS OF MUSIC SYNTHESIS. (U) AUG 80 W & PASEMAN...METHODS OF MUSIC SYNHEIS William Gerhard Paseman ~- August 1980 This research was supported by the Advanced Research Projects Agency of the Department of...black number) Artif icial Intelligence Msic Ccirposition Real Time Music Synthesis 20 ABSTRACT (Continue on reverse stde it necessary and identity by

Prediction of Potential Hit Song and Musical Genre Using Artificial Neural Networks

NASA Astrophysics Data System (ADS)

Monterola, Christopher; Abundo, Cheryl; Tugaff, Jeric; Venturina, Lorcel Ericka

Accurately quantifying the goodness of music based on the seemingly subjective taste of the public is a multi-million industry. Recording companies can make sound decisions on which songs or artists to prioritize if accurate forecasting is achieved. We extract 56 single-valued musical features (e.g. pitch and tempo) from 380 Original Pilipino Music (OPM) songs (190 are hit songs) released from 2004 to 2006. Based on an effect size criterion which measures a variable's discriminating power, the 20 highest ranked features are fed to a classifier tasked to predict hit songs. We show that regardless of musical genre, a trained feed-forward neural network (NN) can predict potential hit songs with an average accuracy of ΦNN = 81%. The accuracy is about +20% higher than those of standard classifiers such as linear discriminant analysis (LDA, ΦLDA = 61%) and classification and regression trees (CART, ΦCART = 57%). Both LDA and CART are above the proportional chance criterion (PCC, ΦPCC = 50%) but are slightly below the suggested acceptable classifier requirement of 1.25*ΦPCC = 63%. Utilizing a similar procedure, we demonstrate that different genres (ballad, alternative rock or rock) of OPM songs can be automatically classified with near perfect accuracy using LDA or NN but only around 77% using CART.

Early life instruction in foreign language and music and incidence of mild cognitive impairment.

PubMed

Wilson, Robert S; Boyle, Patricia A; Yang, Jingyun; James, Bryan D; Bennett, David A

2015-03-01

To test the hypothesis that foreign language and music instruction in early life are associated with lower incidence of mild cognitive impairment (MCI) and slower rate of cognitive decline in old age. At enrollment in a longitudinal cohort study, 964 older persons without cognitive impairment estimated years of foreign language and music instruction by age 18. Annually thereafter they completed clinical evaluations that included cognitive testing and clinical classification of MCI. There were 264 persons with no foreign language instruction, 576 with 1-4 years, and 124 with > 4 years; 346 persons with no music instruction, 360 with 1-4 years, and 258 with > 4 years. During a mean of 5.8 years of observation, 396 participants (41.1%) developed MCI. In a proportional hazards model adjusted for age, sex, and education, higher levels (> 4 years) of foreign language (hazard ratio [HR] = 0.687, 95% confidence interval [CI] [0.482, 0.961]) and music (HR = 0.708, 95% CI [0.539, 0.930]) instruction by the age of 18 were each associated with reduced risk of MCI. The association persisted after adjustment for other early life indicators of an enriched cognitive environment, and it was stronger for nonamnestic than amnestic MCI. Both foreign language and music instruction were associated with higher initial level of cognitive function, but neither instruction measure was associated with cognitive decline. Higher levels of foreign language and music instruction during childhood and adolescence are associated in old age with lower risk of developing MCI but not with rate of cognitive decline. PsycINFO Database Record (c) 2015 APA, all rights reserved.

Music and movement share a dynamic structure that supports universal expressions of emotion

PubMed Central

Sievers, Beau; Polansky, Larry; Casey, Michael; Wheatley, Thalia

2013-01-01

Music moves us. Its kinetic power is the foundation of human behaviors as diverse as dance, romance, lullabies, and the military march. Despite its significance, the music-movement relationship is poorly understood. We present an empirical method for testing whether music and movement share a common structure that affords equivalent and universal emotional expressions. Our method uses a computer program that can generate matching examples of music and movement from a single set of features: rate, jitter (regularity of rate), direction, step size, and dissonance/visual spikiness. We applied our method in two experiments, one in the United States and another in an isolated tribal village in Cambodia. These experiments revealed three things: (i) each emotion was represented by a unique combination of features, (ii) each combination expressed the same emotion in both music and movement, and (iii) this common structure between music and movement was evident within and across cultures. PMID:23248314

Cultural Consciousness in Teaching General Music.

ERIC Educational Resources Information Center

Campbell, Patricia Shehan; And Others

1992-01-01

Addresses the need to present a multiculturalist approach in elementary and secondary school general music classes. Suggests connections between particular music teaching methods and ethnic musical traditions. Includes lesson plans concerning the teaching of Native American, African-American, Filipino, and Latin American music. (SG)

Music's use for anesthesia and analgesia.

PubMed

Matsota, Paraskevi; Christodoulopoulou, Theodora; Smyrnioti, Maria Eleni; Pandazi, Ageliki; Kanellopoulos, Ilias; Koursoumi, Evgenia; Karamanis, Periandros; Kostopanagiotou, Georgia

2013-04-01

This review article provides an overview of published data regarding the involvement of music in anesthesia practice. Music is an important topic for research in different fields of anesthesiology. The use of music preoperatively is aimed at reducing anxiety, stress, and fear. However, the effect of music on perception of pain intraoperatively is controversial, according to studies of both adults and children undergoing various surgical procedures under general and/or regional anesthesia. In postoperative pain management, postanesthesia care, and neonatal intensive care, music can be a complementary method for reducing pain, anxiety, and stress. Music is a mild anxiolytic, but it is relatively ineffective when a pain stimulus is severe. However, music is inexpensive, easily administered, and free of adverse effects, and as such, can serve as complementary method for treating perioperative stress and for acute and chronic pain management, even though music's effectiveness depends on each individual patient's disposition and severity of pain stimulus.

Prospective Study on Music Therapy in Terminally Ill Cancer Patients during Specialized Inpatient Palliative Care.

PubMed

Kordovan, Sarah; Preissler, Pia; Kamphausen, Anne; Bokemeyer, Carsten; Oechsle, Karin

2016-04-01

This study was a prospective evaluation of feasibility, acceptance, and potential beneficial effects of music therapy in terminally ill cancer patients on a specialized palliative care inpatient ward. Intervention had to consist of at least two sessions, but frequency and duration was left to the patients` decision. Different music therapy methods were offered to the patient at the beginning of every session. Patients rated their subjective benefit. Disease-related and sociodemographic factors were considered as potentially influencing factors. A total of 166 music therapy sessions were performed with 41 patients (average, 4; range, 2-10). Average session duration was 41 minutes (range, 20-70). Most favored methods were therapeutic conversation in 84% of sessions; listening to relaxing music, 39%; playing an instrument, 31%; and music-lead imagination, 11%. Receptive music therapy was applied in 45%, active forms in 25%, a combination of both in 7%, and therapeutic conversation only in 23%. Music therapy was rated to be "helpful" in 68%. Positive effects were significantly associated with frequency (p = 0.009) and duration (p = 0.040), living in a partnership (p = 0.017), having children (p = 0.035), psycho-oncologic therapy (p = 0.043), experience with music therapy (p = 0.007), role of music in life (p = 0.035), playing an instrument (p = 0.021), and singing regularly (p = 0.003). Music therapy techniques, especially receptive methods, are feasible and well accepted in terminally ill cancer patients. Therapeutic conversation seems to play an important role. Frequency and duration of music therapy, previous experience with music and music therapy, as well as sociodemographic factors influence positive effects of music therapy.

Music as the Least Restrictive Environment of the Severely Emotionally Disturbed.

ERIC Educational Resources Information Center

Milner, Edward Willis

The paper presents a method for teaching music to the severely emotionally disturbed high school learner, a typology for relating the learner to the type of method to be used, and three case studies illustrating use of music as a way to provide students with the least restrictive environment. The music program involves group singing and playing…

Geometry-based ensembles: toward a structural characterization of the classification boundary.

PubMed

Pujol, Oriol; Masip, David

2009-06-01

This paper introduces a novel binary discriminative learning technique based on the approximation of the nonlinear decision boundary by a piecewise linear smooth additive model. The decision border is geometrically defined by means of the characterizing boundary points-points that belong to the optimal boundary under a certain notion of robustness. Based on these points, a set of locally robust linear classifiers is defined and assembled by means of a Tikhonov regularized optimization procedure in an additive model to create a final lambda-smooth decision rule. As a result, a very simple and robust classifier with a strong geometrical meaning and nonlinear behavior is obtained. The simplicity of the method allows its extension to cope with some of today's machine learning challenges, such as online learning, large-scale learning or parallelization, with linear computational complexity. We validate our approach on the UCI database, comparing with several state-of-the-art classification techniques. Finally, we apply our technique in online and large-scale scenarios and in six real-life computer vision and pattern recognition problems: gender recognition based on face images, intravascular ultrasound tissue classification, speed traffic sign detection, Chagas' disease myocardial damage severity detection, old musical scores clef classification, and action recognition using 3D accelerometer data from a wearable device. The results are promising and this paper opens a line of research that deserves further attention.

Aesthetics for Arts' Sake.

ERIC Educational Resources Information Center

Knieter, Gerard L.

1983-01-01

Music education should be conceived as aesthetic education which is devoted to the systematic development of musicality. Music education curricula should incorporate contemporary psychological methods which encourage creativity while focusing on the nature of music meaning and expression and the development of the capacity for musical response.…

Preference for Popular and World Music: A Review of Literature

ERIC Educational Resources Information Center

Williams, Matthew

2017-01-01

Reviews of literature on music preference may provide music educators with a variety of research on information, techniques, and methods to implement in the music classroom. Calls to widen the types of music used in curricula seem to underscore the importance of research exploring preference using music other than, and in addition to, Western art…

Examination of the Classification Accuracy of Music Education Special Aptitude Exams

ERIC Educational Resources Information Center

Atar, Hakan Yavuz; Sayin, Ayfer; Atar, Burcu

2013-01-01

It is critical both for candidates who apply for programs that require special aptitude and the professors who teach in these programs whether those students' scores on placement exams are correctly calculated. Because student's ability profile and the quality of education in these programs may be directly affected by how candidates placement…

Grounded theory in music therapy research.

PubMed

O'Callaghan, Clare

2012-01-01

Grounded theory is one of the most common methodologies used in constructivist (qualitative) music therapy research. Researchers use the term "grounded theory" when denoting varying research designs and theoretical outcomes. This may be challenging for novice researchers when considering whether grounded theory is appropriate for their research phenomena. This paper examines grounded theory within music therapy research. Grounded theory is briefly described, including some of its "contested" ideas. A literature search was conducted using the descriptor "music therapy and grounded theory" in Pubmed, CINAHL PsychlNFO, SCOPUS, ERIC (CSA), Web of Science databases, and a music therapy monograph series. A descriptive analysis was performed on the uncovered studies to examine researched phenomena, grounded theory methods used, and how findings were presented, Thirty music therapy research projects were found in refereed journals and monographs from 1993 to "in press." The Strauss and Corbin approach to grounded theory dominates the field. Descriptors to signify grounded theory components in the studies greatly varied. Researchers have used partial or complete grounded theory methods to examine clients', family members', staff, music therapy "overhearers," music therapists', and students' experiences, as well as music therapy creative products and professional views, issues, and literature. Seven grounded theories were offered. It is suggested that grounded theory researchers clarify what and who inspired their design, why partial grounded theory methods were used (when relevant), and their ontology. By elucidating assumptions underpinning the data collection, analysis, and findings' contribution, researchers will continue to improve music therapy research using grounded theory methods.

Music therapy CD creation for initial pediatric radiation therapy: a mixed methods analysis.

PubMed

Barry, Philippa; O'Callaghan, Clare; Wheeler, Greg; Grocke, Denise

2010-01-01

A mixed methods research design was used to investigate the effects of a music therapy CD (MTCD) creation intervention on pediatric oncology patients' distress and coping during their first radiation therapy treatment. The music therapy method involved children creating a music CD using interactive computer-based music software, which was "remixed" by the music therapist-researcher to extend the musical material. Eleven pediatric radiation therapy outpatients aged 6 to 13 years were randomly assigned to either an experimental group, in which they could create a music CD prior to their initial treatment to listen to during radiation therapy, or to a standard care group. Quantitative and qualitative analyses generated multiple perceptions from the pediatric patients, parents, radiation therapy staff, and music therapist-researcher. Ratings of distress during initial radiation therapy treatment were low for all children. The comparison between the two groups found that 67% of the children in the standard care group used social withdrawal as a coping strategy, compared to 0% of the children in the music therapy group; this trend approached significance (p = 0.076). MTCD creation was a fun, engaging, and developmentally appropriate intervention for pediatric patients, which offered a positive experience and aided their use of effective coping strategies to meet the demands of their initial radiation therapy treatment.

Bridging the Gap: Popular Music and Music Education

ERIC Educational Resources Information Center

Rodriguez, Carlos Xavier, Ed.

2004-01-01

This versatile and insightful book discusses trends and issues related to popular music in the classroom. Topics covered include the definition of popular music, the "us versus them" dilemma, teacher education, effective teaching methods, and choosing quality repertoire. Fourth in the Northwestern University Music Education Leadership…

Thematic Analysis of the Experience of Group Music Therapy for People with Chronic Quadriplegia

PubMed Central

Baker, Felicity A.; Grocke, Denise; Berlowitz, David J.

2014-01-01

Background: People living with quadriplegia are at risk for social isolation and depression. Research with other marginalized groups has indicated that music therapy can have a positive effect on mood and social interaction. Objective: To gather descriptions of participants’ experience of 2 types of group music therapy – therapeutic singing or music appreciation and relaxation – and to determine commonalities and differences between participants’ experience of these 2 methods. Methods: We interviewed 20 people with quadriplegia about their experience of participating in 12 weeks of therapeutic singing (n = 10) or music appreciation and relaxation (n = 10). These methods of group music therapy were the interventions tested in a previously reported randomized controlled trial. The interview data were subjected to an inductive thematic analysis. Results: Six main themes were generated from the interview data. Four of these were shared themes and indicated that both types of group music therapy had a positive effect on mood/mental state and physical state, encouraged social engagement, and reconnected participants with their music identity or relationship with music. In addition, the participants who participated in the singing groups found singing to be challenging and confronting, but experienced a general increase in motivation. Conclusions: Group music therapy was experienced as an enjoyable and accessible activity that reconnected participants with their own music. Participants frequently described positive shifts in mood and energy levels, and social interaction was stimulated both within and beyond the music therapy groups. PMID:25484569

Where Words Fail, Music Speaks: A Mixed Method Study of an Evidence-Based Music Protocol.

PubMed

Daniels, Ruby A; Torres, David; Reeser, Cathy

2016-01-01

Despite numerous studies documenting the benefits of music, hospice social workers are often unfamiliar with evidence-based music practices that may improve end of life care. This mixed method study tested an intervention to teach hospice social workers and chaplains (N = 10) an evidence-based music protocol. Participants used the evidence-based practice (EBP) for 30 days, recording 226 journal entries that described observations of 84 patients and their families. There was a significant increase in EBP knowledge (35%). Prompting behavioral and emotional responses, music was described frequently as a catalyst that facilitated deeper dialogue between patients, families, social workers, and chaplains.

Music Listening Among Postoperative Patients in the Intensive Care Unit: A Randomized Controlled Trial with Mixed-Methods Analysis

PubMed Central

Ames, Nancy; Shuford, Rebecca; Yang, Li; Moriyama, Brad; Frey, Meredith; Wilson, Florencia; Sundaramurthi, Thiruppavai; Gori, Danelle; Mannes, Andrew; Ranucci, Alexandra; Koziol, Deloris; Wallen, Gwenyth R

2017-01-01

Background: Music listening may reduce the physiological, emotional, and mental effects of distress and anxiety. It is unclear whether music listening may reduce the amount of opioids used for pain management in critical care, postoperative patients or whether music may improve patient experience in the intensive care unit (ICU). Methods: A total of 41 surgical patients were randomized to either music listening or controlled non-music listening groups on ICU admission. Approximately 50-minute music listening interventions were offered 4 times per day (every 4-6 hours) during the 48 hours of patients’ ICU stays. Pain, distress, and anxiety scores were measured immediately before and after music listening or controlled resting periods. Total opioid intake was recorded every 24 hours and during each intervention. Results: There was no significant difference in pain, opioid intake, distress, or anxiety scores between the control and music listening groups during the first 4 time points of the study. However, a mixed modeling analysis examining the pre- and post-intervention scores at the first time point revealed a significant interaction in the Numeric Rating Scale (NRS) for pain between the music and the control groups (P = .037). The Numeric Rating Score decreased in the music group but remained stable in the control group. Following discharge from the ICU, the music group’s interviews were analyzed for themes. Conclusions: Despite the limited sample size, this study identified music listening as an appropriate intervention that improved patients’ post-intervention experience, according to patients’ self-report. Future mixed methods studies are needed to examine both qualitative patient perspectives and methodology to improve music listening in critical care units. PMID:28904523

Point of View: Does Popular Music Have Educational Value?

ERIC Educational Resources Information Center

Music Educators Journal, 1979

1979-01-01

Eight music educators offer their views on the pros and cons of including pop/rock music in the curriculum. Some participants describe methods they've developed to highlight or to integrate contemporary music in their courses. This article is part of a theme issue on popular music. (SJL)

Favored subjects and psychosocial needs in music therapy in terminally ill cancer patients: a content analysis.

PubMed

Preissler, Pia; Kordovan, Sarah; Ullrich, Anneke; Bokemeyer, Carsten; Oechsle, Karin

2016-05-12

Research has shown positive effects of music therapy on the physical and mental well-being of terminally ill patients. This study aimed to identify favored subjects and psychosocial needs of terminally ill cancer patients during music therapy and associated factors. Forty-one Patients receiving specialized inpatient palliative care prospectively performed a music therapy intervention consisting of at least two sessions (total number of sessions: 166; per patient average: 4, range, 2-10). Applied music therapy methods and content were not pre-determined. Therapeutic subjects and psychosocial needs addressed in music therapy sessions were identified from prospective semi-structured "field notes" using qualitative content analysis. Patient- and treatment-related characteristics as well as factors related to music and music therapy were assessed by questionnaire or retrieved from medical records. Seven main categories of subjects were identified: "condition, treatment, further care", "coping with palliative situation", "emotions and feelings", "music and music therapy", "biography", "social environment", and "death, dying, and spiritual topics". Patients addressed an average of 4.7 different subjects (range, 1-7). Some subjects were associated with gender (p = .022) and prior impact of music in patients' life (p = .012). The number of subjects per session was lower when receptive music therapy methods were used (p = .040). Psychosocial needs were categorized into nine main dimensions: "relaxing and finding comfort", "communication and dialogue", "coping and activation of internal resources", "activity and vitality", "finding expression", "sense of self and reflection", "finding emotional response", "defocusing and diversion", and "structure and hold". Patients expressed an average of 4.9 psychosocial needs (range, 1-8). Needs were associated with age, parallel art therapy (p = .010), role of music in patient's life (p = .021), and the applied music therapy method (p = .012). Seven main categories of therapeutically relevant subjects and nine dimensions of psychosocial needs could be identified when music therapy was delivered to terminally ill cancer patients. Results showed that patients with complex psychosocial situations addressed an average number of five subjects and needs, respectively. Some socio-demographic factors, the role of music in patient's lives and the applied music therapy methods may be related with the kind and number of expressed subjects and needs.

[The relations between music and medicine in history and present].

PubMed

Gasenzer, E R; Neugebauer, E A M

2011-12-01

Since the ancient world relations exist between music and medicine. In the prehistoric music, dance, rhythm and religious practice were important parts of shamanism and early medical procedures. Important philosophers of the classic period already began with the scientific research of musical and medical questions. During the middle age convents conserved ancient knowledge. They offered medical care and taught the ancient knowledge of medicine, arts and music. The Gregorian choral was created. Traditions of popular believe expressed the relations between music and medicine. The Renaissance became the great époque of art, music and science. Leonardo da Vinci and Andreas Vesalius presented a new style of artistic working and scientific knowledge. Also the basics of western music, like tonality was developed. With the separation of scientific subjects in natural sciences and humanities, the relationships between music and medicine fall into oblivion. During the classic and romantic era music and art were important parts of cultural live of the well educated society. With the development of neurology, psychiatry and psychoanalysis more physicians and scientists were interested in musical questions. Questions about the role of music in human behavior and the ancient method to use music in medical treatment became popular. In the early 20th century the music therapy was developed. Today the effects of music to the human brain are investigated with radionuclear methods. A lot of investigations showed the effect of music and music performance to humans. Music plays an important part in psychotherapy, therapeutic pedagogy and medical care, the importance of music and music therapy increases. In the 80ies of the 20th century the performing arts medicine was developed, which asks for the medical problems of performing musicians. © Georg Thieme Verlag KG Stuttgart · New York.

A MUSIC-based method for SSVEP signal processing.

PubMed

Chen, Kun; Liu, Quan; Ai, Qingsong; Zhou, Zude; Xie, Sheng Quan; Meng, Wei

2016-03-01

The research on brain computer interfaces (BCIs) has become a hotspot in recent years because it offers benefit to disabled people to communicate with the outside world. Steady state visual evoked potential (SSVEP)-based BCIs are more widely used because of higher signal to noise ratio and greater information transfer rate compared with other BCI techniques. In this paper, a multiple signal classification based method was proposed for multi-dimensional SSVEP feature extraction. 2-second data epochs from four electrodes achieved excellent accuracy rates including idle state detection. In some asynchronous mode experiments, the recognition accuracy reached up to 100%. The experimental results showed that the proposed method attained good frequency resolution. In most situations, the recognition accuracy was higher than canonical correlation analysis, which is a typical method for multi-channel SSVEP signal processing. Also, a virtual keyboard was successfully controlled by different subjects in an unshielded environment, which proved the feasibility of the proposed method for multi-dimensional SSVEP signal processing in practical applications.

Global music approach to persons with dementia: evidence and practice

PubMed Central

Raglio, Alfredo; Filippi, Stefania; Bellandi, Daniele; Stramba-Badiale, Marco

2014-01-01

Music is an important resource for achieving psychological, cognitive, and social goals in the field of dementia. This paper describes the different types of evidence-based music interventions that can be found in literature and proposes a structured intervention model (global music approach to persons with dementia, GMA-D). The literature concerning music and dementia was considered and analyzed. The reported studies included more recent studies and/or studies with relevant scientific characteristics. From this background, a global music approach was proposed using music and sound–music elements according to the needs, clinical characteristics, and therapeutic–rehabilitation goals that emerge in the care of persons with dementia. From the literature analysis the following evidence-based interventions emerged: active music therapy (psychological and rehabilitative approaches), active music therapy with family caregivers and persons with dementia, music-based interventions, caregivers singing, individualized listening to music, and background music. Characteristics of each type of intervention are described and discussed. Standardizing the operational methods and evaluation of the single activities and a joint practice can contribute to achieve the validation of the application model. The proposed model can be considered a low-cost nonpharmacological intervention and a therapeutic–rehabilitation method for the reduction of behavioral disturbances, for stimulation of cognitive functions, and for increasing the overall quality of life of persons with dementia. PMID:25336931

Global music approach to persons with dementia: evidence and practice.

PubMed

Raglio, Alfredo; Filippi, Stefania; Bellandi, Daniele; Stramba-Badiale, Marco

2014-01-01

Music is an important resource for achieving psychological, cognitive, and social goals in the field of dementia. This paper describes the different types of evidence-based music interventions that can be found in literature and proposes a structured intervention model (global music approach to persons with dementia, GMA-D). The literature concerning music and dementia was considered and analyzed. The reported studies included more recent studies and/or studies with relevant scientific characteristics. From this background, a global music approach was proposed using music and sound-music elements according to the needs, clinical characteristics, and therapeutic-rehabilitation goals that emerge in the care of persons with dementia. From the literature analysis the following evidence-based interventions emerged: active music therapy (psychological and rehabilitative approaches), active music therapy with family caregivers and persons with dementia, music-based interventions, caregivers singing, individualized listening to music, and background music. Characteristics of each type of intervention are described and discussed. Standardizing the operational methods and evaluation of the single activities and a joint practice can contribute to achieve the validation of the application model. The proposed model can be considered a low-cost nonpharmacological intervention and a therapeutic-rehabilitation method for the reduction of behavioral disturbances, for stimulation of cognitive functions, and for increasing the overall quality of life of persons with dementia.

Influence of musical expertise and musical training on pitch processing in music and language.

PubMed

Besson, Mireille; Schön, Daniele; Moreno, Sylvain; Santos, Andréia; Magne, Cyrille

2007-01-01

We review a series of experiments aimed at studying pitch processing in music and speech. These studies were conducted with musician and non musician adults and children. We found that musical expertise improved pitch processing not only in music but also in speech. Demonstrating transfer of training between music and language has interesting applications for second language learning. We also addressed the issue of whether the positive effects of musical expertise are linked with specific predispositions for music or with extensive musical practice. Results of longitudinal studies argue for the later. Finally, we also examined pitch processing in dyslexic children and found that they had difficulties discriminating strong pitch changes that are easily discriminate by normal readers. These results argue for a strong link between basic auditory perception abilities and reading abilities. We used conjointly the behavioral method (Reaction Times and error rates) and the electrophysiological method (recording of the changes in brain electrical activity time-locked to stimulus presentation, Event-Related brain Potentials or ERPs). A set of common processes may be responsible for pitch processing in music and in speech and these processes are shaped by musical practice. These data add evidence in favor of brain plasticity and open interesting perspectives for the remediation of dyslexia using musical training.

Digital Sound Synthesis Algorithms: a Tutorial Introduction and Comparison of Methods

NASA Astrophysics Data System (ADS)

Lee, J. Robert

The objectives of the dissertation are to provide both a compendium of sound-synthesis methods with detailed descriptions and sound examples, as well as a comparison of the relative merits of each method based on ease of use, observed sound quality, execution time, and data storage requirements. The methods are classified under the general headings of wavetable-lookup synthesis, additive synthesis, subtractive synthesis, nonlinear methods, and physical modelling. The nonlinear methods comprise a large group that ranges from the well-known frequency-modulation synthesis to waveshaping. The final category explores computer modelling of real musical instruments and includes numerical and analytical solutions to the classical wave equation of motion, along with some of the more sophisticated time -domain models that are possible through the prudent combination of simpler synthesis techniques. The dissertation is intended to be understandable by a musician who is mathematically literate but who does not necessarily have a background in digital signal processing. With this limitation in mind, a brief and somewhat intuitive description of digital sampling theory is provided in the introduction. Other topics such as filter theory are discussed as the need arises. By employing each of the synthesis methods to produce the same type of sound, interesting comparisons can be made. For example, a struck string sound, such as that typical of a piano, can be produced by algorithms in each of the synthesis classifications. Many sounds, however, are peculiar to a single algorithm and must be examined independently. Psychoacoustic studies were conducted as an aid in the comparison of the sound quality of several implementations of the synthesis algorithms. Other psychoacoustic experiments were conducted to supplement the established notions of which timbral issues are important in the re -synthesis of the sounds of acoustic musical instruments.

Music behind Scores: Case Study of Learning Improvisation with "Playback Orchestra" Method

ERIC Educational Resources Information Center

Juntunen, P.; Ruokonen, I.; Ruismäki, H.

2015-01-01

For music students in the early stages of learning, the music may seem to be hidden behind the scores. To support home practising, Juntunen has created the "Playback Orchestra" method with which the students can practise with the support of the notation program playback of the full orchestra. The results of testing the method with…

Musicians are more consistent: Gestural cross-modal mappings of pitch, loudness and tempo in real-time

PubMed Central

Küssner, Mats B.; Tidhar, Dan; Prior, Helen M.; Leech-Wilkinson, Daniel

2014-01-01

Cross-modal mappings of auditory stimuli reveal valuable insights into how humans make sense of sound and music. Whereas researchers have investigated cross-modal mappings of sound features varied in isolation within paradigms such as speeded classification and forced-choice matching tasks, investigations of representations of concurrently varied sound features (e.g., pitch, loudness and tempo) with overt gestures—accounting for the intrinsic link between movement and sound—are scant. To explore the role of bodily gestures in cross-modal mappings of auditory stimuli we asked 64 musically trained and untrained participants to represent pure tones—continually sounding and concurrently varied in pitch, loudness and tempo—with gestures while the sound stimuli were played. We hypothesized musical training to lead to more consistent mappings between pitch and height, loudness and distance/height, and tempo and speed of hand movement and muscular energy. Our results corroborate previously reported pitch vs. height (higher pitch leading to higher elevation in space) and tempo vs. speed (increasing tempo leading to increasing speed of hand movement) associations, but also reveal novel findings pertaining to musical training which influenced consistency of pitch mappings, annulling a commonly observed bias for convex (i.e., rising–falling) pitch contours. Moreover, we reveal effects of interactions between musical parameters on cross-modal mappings (e.g., pitch and loudness on speed of hand movement), highlighting the importance of studying auditory stimuli concurrently varied in different musical parameters. Results are discussed in light of cross-modal cognition, with particular emphasis on studies within (embodied) music cognition. Implications for theoretical refinements and potential clinical applications are provided. PMID:25120506

Scale-Free Brain-Wave Music from Simultaneously EEG and fMRI Recordings

PubMed Central

Lu, Jing; Wu, Dan; Yang, Hua; Luo, Cheng; Li, Chaoyi; Yao, Dezhong

2012-01-01

In the past years, a few methods have been developed to translate human EEG to music. In 2009, PloS One 4 e5915, we developed a method to generate scale-free brainwave music where the amplitude of EEG was translated to music pitch according to the power law followed by both of them, the period of an EEG waveform is translated directly to the duration of a note, and the logarithm of the average power change of EEG is translated to music intensity according to the Fechner's law. In this work, we proposed to adopt simultaneously-recorded fMRI signal to control the intensity of the EEG music, thus an EEG-fMRI music is generated by combining two different and simultaneous brain signals. And most importantly, this approach further realized power law for music intensity as fMRI signal follows it. Thus the EEG-fMRI music makes a step ahead in reflecting the physiological process of the scale-free brain. PMID:23166768

"But I Never Thought I'd Teach the Little Kids": Secondary Teachers and Early-Grades Music Instruction

ERIC Educational Resources Information Center

Salvador, Karen; Corbett, Keith

2016-01-01

Even in states with K-12 music licensure, not all music education students take a course in elementary music methods, and even fewer take a course that specifically addresses early childhood music instruction. In this article, a music teacher educator and a self-described "band guy," who initially struggled to work with young children,…

Cultural Contact through Musical Poetry in Clara Janes's "Kampa"

ERIC Educational Resources Information Center

Faszer-McMahon, Debra

2009-01-01

Clara Janes's "Kampa" is a love song dedicated to the renowned Czech poet Vladimir Holan. The work includes a musical and lyrical composition performed on tape, and its unconventional musical mode offers an alternative to divisions between western and non-western literary and musical forms. The poetry of "Kampa" presents musical methods of…

Evaluating Graduate Education and Transcending Biases in Music Teachers' Professional Development

ERIC Educational Resources Information Center

Laor, Lia

2015-01-01

Research concerning professional development and its contribution to the formation of professional identity is prevalent in both general and music education. However, its implications for music educators in the context of graduate programs for music education are seldom discussed. This mixed-methods case study examined experienced music teachers'…

Music Pedagogy: The Dissonance between the Taught, the Learned, and the Practiced

ERIC Educational Resources Information Center

Frady, Rita R.

2011-01-01

The purpose of this mixed methods study was to determine the effectiveness of music teacher preparation programs in Georgia in providing preservice music teachers with the pedagogical knowledge and skills (PKS) required for music instruction in elementary music classrooms. The data-validation variant was utilized for the collection of both…

The influence of music and music therapy on pain-induced neuronal oscillations measured by magnetencephalography.

PubMed

Hauck, Michael; Metzner, Susanne; Rohlffs, Fiona; Lorenz, Jürgen; Engel, Andreas K

2013-04-01

Modern forms of music therapy are clinically established for various therapeutic or rehabilitative goals, especially in the treatment of chronic pain. However, little is known about the neuronal mechanisms that underlie pain modulation by music. Therefore, we attempted to characterize the effects of music therapy on pain perception by comparing the effects of 2 different therapeutic concepts, referred to as receptive and entrainment methods, on cortical activity recorded by magnetencephalography in combination with laser heat pain. Listening to preferred music within the receptive method yielded a significant reduction of pain ratings associated with a significant power reduction of delta-band activity in the cingulate gyrus, which suggests that participants displaced their focus of attention away from the pain stimulus. On the other hand, listening to self-composed "pain music" and "healing music" within the entrainment method exerted major effects on gamma-band activity in primary and secondary somatosensory cortices. Pain music, in contrast to healing music, increased pain ratings in parallel with an increase in gamma-band activity in somatosensory brain structures. In conclusion, our data suggest that the 2 music therapy approaches operationalized in this study seem to modulate pain perception through at least 2 different mechanisms, involving changes of activity in the delta and gamma bands at different stages of the pain processing system. Copyright © 2012 International Association for the Study of Pain. Published by Elsevier B.V. All rights reserved.

The Band Effect—Physically Strenuous Music Making Increases Esthetic Appreciation of Music

PubMed Central

Fritz, Thomas H.; Schneider, Lydia; Villringer, Arno

2016-01-01

The esthetic appreciation of music is strongly influenced by cultural background and personal taste. One would expect that this would complicate the utilizability of musical feedback in paradigms, such that music would only be perceived as a reward if it complies to personal esthetic appreciation. Here we report data where we assessed esthetic appreciation of music after 1. a physically strenuous music improvisation and 2. after passive music listening (where participants esthetically assessed similar music). Data are reported from two experiments with different patient groups: 1. Drug abuse patients, and 2. Chronic pain patients. Participants in both experiments performed Jymmin, a music feedback method where exercise equipment is modified in such a way that it can be played like musical instruments by modulating musical parameters in a composition software. This combines physical exertion with musical performance in a fashion that has previously been shown to have a number of positive psychological effects such as enhanced mood and reduced perceived exertion. In both experiments esthetic appreciation of musical presentations during Jymmin and a control condition without musical agency were compared. Data show that both patient groups perceived the musical outcome of their own performance as more esthetically pleasing than similar music they listened to passively. This suggests that the act of making music (when combined with physical exertion) is associated with a positivity bias about the perceived esthetical quality of the musical outcome. The outcome of personal musical agency thus tends to be perceived as rewarding even if it does not comply with personal esthetic appreciation. This suggests that musical feedback interventions may not always have to be highly individualized because individual taste may not always be crucial. The results also suggest that the method applied here may be efficient at encouraging music listeners to actively explore new musical styles that they might otherwise be reluctant to listen to (e.g., avant-garde music). The results also hint toward a deeper understanding of why musicians, who exert themselves physically during musical performances to generate music and regardless of the type of music they are playing, typically find the physically demanding experience esthetically satisfying. PMID:27799893

Stylistic Change in Classroom Native Music.

ERIC Educational Resources Information Center

Johnston, Thomas F.

1981-01-01

Discusses the teaching of native music in classes for Native Americans. Highlights the ways in which changes in musical style evolve and the disparities between the teaching process and the music itself. Suggests methods for successfully uniting process and product. (MK)

Intraoperative music application in children and adolescents - a pilot study.

PubMed

Buehler, P K; Spielmann, N; Buehrer, S; Schmidt, A R; Weiss, M; Schmitz, A

2017-09-01

Hospitalization, surgery and anaesthesia may lead to new-onset maladaptive behaviour, emotional distress and trauma. This pilot study aims to investigate the influence of intraoperatively applied music on post-operative behaviour in children and adolescents. Children with an ASA physical state classification of I or II, aged from 4 to 16 years and scheduled for elective circumcision or inguinal hernia repair under combined general and caudal anaesthesia were included. The children were randomized into two groups. They wore headphones during surgery, and were either exposed to music or not. All involved staff were blinded. Post-operative behaviour was documented by parents on day 7, 14 and 28 after surgery, using a questionnaire adapted from the "Post Hospitalization Behavioural Questionnaire" (PHBQ). Overall occurrence of at least one item indicating maladaptive behaviour was the primary outcome. Data are presented as median (interquartile range). In total, 135 children aged 6.6 (5.3-8.5) years, weighing 22 (19-29) kg, were included, with 112 completed questionnaires returned. Overall occurrence of at least one maladaptive item was lower in the music group, with a significantly lower incidence on day 7 (51% vs. 77% in controls; P < 0.01). Intraoperative music application in children undergoing minor surgical procedures may reduce the incidence of post-operative maladaptive behaviour within the first week. © 2017 The Acta Anaesthesiologica Scandinavica Foundation. Published by John Wiley & Sons Ltd.

A quantitative approach to painting styles

NASA Astrophysics Data System (ADS)

Vieira, Vilson; Fabbri, Renato; Sbrissa, David; da Fontoura Costa, Luciano; Travieso, Gonzalo

2015-01-01

This research extends a method previously applied to music and philosophy (Vilson Vieira et al., 2012), representing the evolution of art as a time-series where relations like dialectics are measured quantitatively. For that, a corpus of paintings of 12 well-known artists from baroque and modern art is analyzed. A set of 99 features is extracted and the features which most contributed to the classification of painters are selected. The projection space obtained provides the basis to the analysis of measurements. These quantitative measures underlie revealing observations about the evolution of painting styles, specially when compared with other humanity fields already analyzed: while music evolved along a master-apprentice tradition (high dialectics) and philosophy by opposition, painting presents another pattern: constant increasing skewness, low opposition between members of the same movement and opposition peaks in the transition between movements. Differences between baroque and modern movements are also observed in the projected "painting space": while baroque paintings are presented as an overlapped cluster, the modern paintings present minor overlapping and are disposed more widely in the projection than the baroque counterparts. This finding suggests that baroque painters shared aesthetics while modern painters tend to "break rules" and develop their own style.

Music Retrieval Based on the Relation between Color Association and Lyrics

NASA Astrophysics Data System (ADS)

Nakamur, Tetsuaki; Utsumi, Akira; Sakamoto, Maki

Various methods for music retrieval have been proposed. Recently, many researchers are tackling developing methods based on the relationship between music and feelings. In our previous psychological study, we found that there was a significant correlation between colors evoked from songs and colors evoked only from lyrics, and showed that the music retrieval system using lyrics could be developed. In this paper, we focus on the relationship among music, lyrics and colors, and propose a music retrieval method using colors as queries and analyzing lyrics. This method estimates colors evoked from songs by analyzing lyrics of the songs. On the first step of our method, words associated with colors are extracted from lyrics. We assumed two types of methods to extract words associated with colors. In the one of two methods, the words are extracted based on the result of a psychological experiment. In the other method, in addition to the words extracted based on the result of the psychological experiment, the words from corpora for the Latent Semantic Analysis are extracted. On the second step, colors evoked from the extracted words are compounded, and the compounded colors are regarded as those evoked from the song. On the last step, colors as queries are compared with colors estimated from lyrics, and the list of songs is presented based on similarities. We evaluated the two methods described above and found that the method based on the psychological experiment and corpora performed better than the method only based on the psychological experiment. As a result, we showed that the method using colors as queries and analyzing lyrics is effective for music retrieval.

Instrumental Music...A Success Opportunity.

ERIC Educational Resources Information Center

Roesene, Paul E.

1982-01-01

Discusses methods for teaching instrumental music skills to educable mentally handicapped children. The author advocates consistent rules for equipment handling and playing position, frequent positive feedback from teachers, private lessons, rote-learning of music, and group playing experiences. Appropriate music training significantly improved…

EEG-based emotion recognition in music listening.

PubMed

Lin, Yuan-Pin; Wang, Chi-Hong; Jung, Tzyy-Ping; Wu, Tien-Lin; Jeng, Shyh-Kang; Duann, Jeng-Ren; Chen, Jyh-Horng

2010-07-01

Ongoing brain activity can be recorded as electroencephalograph (EEG) to discover the links between emotional states and brain activity. This study applied machine-learning algorithms to categorize EEG dynamics according to subject self-reported emotional states during music listening. A framework was proposed to optimize EEG-based emotion recognition by systematically 1) seeking emotion-specific EEG features and 2) exploring the efficacy of the classifiers. Support vector machine was employed to classify four emotional states (joy, anger, sadness, and pleasure) and obtained an averaged classification accuracy of 82.29% +/- 3.06% across 26 subjects. Further, this study identified 30 subject-independent features that were most relevant to emotional processing across subjects and explored the feasibility of using fewer electrodes to characterize the EEG dynamics during music listening. The identified features were primarily derived from electrodes placed near the frontal and the parietal lobes, consistent with many of the findings in the literature. This study might lead to a practical system for noninvasive assessment of the emotional states in practical or clinical applications.

Metaphorical Perceptions of Prospective Music Teachers towards "Traditional Turkish Classical Music Course" Concept

ERIC Educational Resources Information Center

Eldemir, Abdurrahim Can

2016-01-01

The purpose of this study is to determine the perceptions of prospective music teachers towards Traditional Turkish Art Music course by means of metaphors. Phenomenological design, one of qualitative study methods, was used in the study. The study group of our research consists of juniors and seniors studying in the Music Education Division,…

Enculturation to Musical Pitch Structure in Young Children: Evidence from Behavioral and Electrophysiological Methods

ERIC Educational Resources Information Center

Corrigall, Kathleen A.; Trainor, Laurel J.

2014-01-01

Children learn the structure of the music of their culture similarly to how they learn the language to which they are exposed in their daily environment. Furthermore, as with language, children acquire this musical knowledge without formal instruction. Two critical aspects of musical pitch structure in Western tonal music are key membership…

The Future of Music Education in Kenya: Implementation of Curriculum and Instructional Teaching Strategies

ERIC Educational Resources Information Center

Mochere, Joyce M.

2017-01-01

This paper is an evaluation of the parameters of the concept of music curriculum that examines principles underlying the teaching and learning of music. The paper also discusses the practical nature of music education and the need for experiential learning. Music educators worldwide advocate for methods that allow for discovery learning and hence…

Shifting from Fear to Self-Confidence: Body Mapping as a Transformative Tool in Music Teacher Education

ERIC Educational Resources Information Center

Griffin, Shelley M.

2015-01-01

Fear and lack of self-confidence toward music teaching are frequently experienced by many Bachelor of Education teacher candidates when they imagine themselves as future elementary general music teachers. Integrating visual art body mapping in elementary music methods fosters a unique opportunity to identify and interrogate musical experience.…

Music: Artistic Performance or a Therapeutic Tool? A Study on Differences

ERIC Educational Resources Information Center

Petersson, Gunnar; Nystrom, Maria

2011-01-01

The aim of this study is to analyze and describe how musicians who are also music therapy students separate music as artistic performance from music as a therapeutic tool. The data consist of 18 written reflections from music therapy students that were analyzed according to a phenomenographic method. The findings are presented as four…

The Physics of Music with Interdisciplinary Approach: A Case of Prospective Music Teachers

ERIC Educational Resources Information Center

Turna, Özge; Bolat, Mualla

2016-01-01

Physics of music is an area that is covered by interdisciplinary approach. In this study it is aimed to determine prospective music teachers' level of association with physics concepts which are related to music. The research is a case study which combines qualitative and quantitative methods. Eighty-four students who were studying at the…

Source counting in MEG neuroimaging

NASA Astrophysics Data System (ADS)

Lei, Tianhu; Dell, John; Magee, Ralphy; Roberts, Timothy P. L.

2009-02-01

Magnetoencephalography (MEG) is a multi-channel, functional imaging technique. It measures the magnetic field produced by the primary electric currents inside the brain via a sensor array composed of a large number of superconducting quantum interference devices. The measurements are then used to estimate the locations, strengths, and orientations of these electric currents. This magnetic source imaging technique encompasses a great variety of signal processing and modeling techniques which include Inverse problem, MUltiple SIgnal Classification (MUSIC), Beamforming (BF), and Independent Component Analysis (ICA) method. A key problem with Inverse problem, MUSIC and ICA methods is that the number of sources must be detected a priori. Although BF method scans the source space on a point-to-point basis, the selection of peaks as sources, however, is finally made by subjective thresholding. In practice expert data analysts often select results based on physiological plausibility. This paper presents an eigenstructure approach for the source number detection in MEG neuroimaging. By sorting eigenvalues of the estimated covariance matrix of the acquired MEG data, the measured data space is partitioned into the signal and noise subspaces. The partition is implemented by utilizing information theoretic criteria. The order of the signal subspace gives an estimate of the number of sources. The approach does not refer to any model or hypothesis, hence, is an entirely data-led operation. It possesses clear physical interpretation and efficient computation procedure. The theoretical derivation of this method and the results obtained by using the real MEG data are included to demonstrates their agreement and the promise of the proposed approach.

Pre-Service Elementary Education Teachers: An International Approach to Music Methods Coursework

ERIC Educational Resources Information Center

VanAlstine, Sharri Kay

2011-01-01

An internationalized approach will enable classroom teachers to confidently integrate music within their classroom content and pedagogical approach to teaching within an international framework. There has been no research, however, into an internationalized approach to instruction in the music methods coursework for pre-service elementary…

Breaking the Sound Barrier with a Hummingbird's Index to Musical Themes.

ERIC Educational Resources Information Center

Bauer, Harry C.

1978-01-01

This review of Denys Parsons'"Directory of Tunes and Musical Themes" describes its simple but effective method of identifying musical compositions. Comparisons are made with other prominent musical reference works, particularly those of Harold Barlow and Sam Morgenstern. (JD)

Music and the heart.

PubMed

Koelsch, Stefan; Jäncke, Lutz

2015-11-21

Music can powerfully evoke and modulate emotions and moods, along with changes in heart activity, blood pressure (BP), and breathing. Although there is great heterogeneity in methods and quality among previous studies on effects of music on the heart, the following findings emerge from the literature: Heart rate (HR) and respiratory rate (RR) are higher in response to exciting music compared with tranquilizing music. During musical frissons (involving shivers and piloerection), both HR and RR increase. Moreover, HR and RR tend to increase in response to music compared with silence, and HR appears to decrease in response to unpleasant music compared with pleasant music. We found no studies that would provide evidence for entrainment of HR to musical beats. Corresponding to the increase in HR, listening to exciting music (compared with tranquilizing music) is associated with a reduction of heart rate variability (HRV), including reductions of both low-frequency and high-frequency power of the HRV. Recent findings also suggest effects of music-evoked emotions on regional activity of the heart, as reflected in electrocardiogram amplitude patterns. In patients with heart disease (similar to other patient groups), music can reduce pain and anxiety, associated with lower HR and lower BP. In general, effects of music on the heart are small, and there is great inhomogeneity among studies with regard to methods, findings, and quality. Therefore, there is urgent need for systematic high-quality research on the effects of music on the heart, and on the beneficial effects of music in clinical settings. Published on behalf of the European Society of Cardiology. All rights reserved. © The Author 2015. For permissions please email: journals.permissions@oup.com.

Design of Small MEMS Microphone Array Systems for Direction Finding of Outdoors Moving Vehicles

PubMed Central

Zhang, Xin; Huang, Jingchang; Song, Enliang; Liu, Huawei; Li, Baoqing; Yuan, Xiaobing

2014-01-01

In this paper, a MEMS microphone array system scheme is proposed which implements real-time direction of arrival (DOA) estimation for moving vehicles. Wind noise is the primary source of unwanted noise on microphones outdoors. A multiple signal classification (MUSIC) algorithm is used in this paper for direction finding associated with spatial coherence to discriminate between the wind noise and the acoustic signals of a vehicle. The method is implemented in a SHARC DSP processor and the real-time estimated DOA is uploaded through Bluetooth or a UART module. Experimental results in different places show the validity of the system and the deviation is no bigger than 6° in the presence of wind noise. PMID:24603636

Design of small MEMS microphone array systems for direction finding of outdoors moving vehicles.

PubMed

Zhang, Xin; Huang, Jingchang; Song, Enliang; Liu, Huawei; Li, Baoqing; Yuan, Xiaobing

2014-03-05

In this paper, a MEMS microphone array system scheme is proposed which implements real-time direction of arrival (DOA) estimation for moving vehicles. Wind noise is the primary source of unwanted noise on microphones outdoors. A multiple signal classification (MUSIC) algorithm is used in this paper for direction finding associated with spatial coherence to discriminate between the wind noise and the acoustic signals of a vehicle. The method is implemented in a SHARC DSP processor and the real-time estimated DOA is uploaded through Bluetooth or a UART module. Experimental results in different places show the validity of the system and the deviation is no bigger than 6° in the presence of wind noise.

Using Interpretative Phenomenological Analysis in a Mixed Methods Research Design to Explore Music in the Lives of Mature Age Amateur Keyboard Players

ERIC Educational Resources Information Center

Taylor, Angela

2015-01-01

This article discusses the use of interpretative phenomenological analysis (IPA) in a mixed methods research design with reference to five recent publications about music in the lives of mature age amateur keyboard players. It explores the links between IPA and the data-gathering methods of "Rivers of Musical Experience",…

The development of an innovative music therapy treatment method: trial competency through music.

PubMed

Sammons, Andrew

2014-01-01

Competence to stand trial is necessary for a defendant in criminal adjudication. Recent estimates indicate that between 50,000 and 60,000 defendants in the United States raise the question of competence each year, with approximately 20 percent found incompetent to stand trial (IST). Most of these defendants are committed to an inpatient facility for competence restoration. Although psychopharmacological intervention is a critical component of restoration, as most defendants are found incompetent because of a psychotic disorder, many other modalities of treatment are used. Traditional treatment methods include the use of standardized testing and psychoeducational group sessions. This article discusses the development of an innovative intervention using music therapy. Music as the catalyst provides a forum in which psychiatric patients are engaged and observed within a structured environment designed to address both their factual and rational knowledge and abilities to assist their attorneys in their defense. Trial competency training through a specific music therapy method called Competency Through Music (CTM) is presented, including examples of how music can be used to educate patients and assess trial competence. © 2014 American Academy of Psychiatry and the Law.

Uncovering collective listening habits and music genres in bipartite networks.

PubMed

Lambiotte, R; Ausloos, M

2005-12-01

In this paper, we analyze web-downloaded data on people sharing their music library, that we use as their individual musical signatures. The system is represented by a bipartite network, nodes being the music groups and the listeners. Music groups' audience size behaves like a power law, but the individual music library size is an exponential with deviations at small values. In order to extract structures from the network, we focus on correlation matrices, that we filter by removing the least correlated links. This percolation idea-based method reveals the emergence of social communities and music genres, that are visualized by a branching representation. Evidence of collective listening habits that do not fit the neat usual genres defined by the music industry indicates an alternative way of classifying listeners and music groups. The structure of the network is also studied by a more refined method, based upon a random walk exploration of its properties. Finally, a personal identification-community imitation model for growing bipartite networks is outlined, following Potts ingredients. Simulation results do reproduce quite well the empirical data.

Uncovering collective listening habits and music genres in bipartite networks

NASA Astrophysics Data System (ADS)

Lambiotte, R.; Ausloos, M.

2005-12-01

In this paper, we analyze web-downloaded data on people sharing their music library, that we use as their individual musical signatures. The system is represented by a bipartite network, nodes being the music groups and the listeners. Music groups’ audience size behaves like a power law, but the individual music library size is an exponential with deviations at small values. In order to extract structures from the network, we focus on correlation matrices, that we filter by removing the least correlated links. This percolation idea-based method reveals the emergence of social communities and music genres, that are visualized by a branching representation. Evidence of collective listening habits that do not fit the neat usual genres defined by the music industry indicates an alternative way of classifying listeners and music groups. The structure of the network is also studied by a more refined method, based upon a random walk exploration of its properties. Finally, a personal identification-community imitation model for growing bipartite networks is outlined, following Potts ingredients. Simulation results do reproduce quite well the empirical data.

Music for the Very Young: How to Use the Suzuki Method in the Preschool Classroom

ERIC Educational Resources Information Center

Garner, Alison Maerker

2008-01-01

Music learning and music performance involve all aspects of the individual: cognitive, emotional, social, and psychomotor. John Feierabend shows that music requires a special kind of intellectual process that is unique to the discipline. Brain density reaches its peak in a child's first few years of life; hence, as with language, music learning…

Short- and Long-Term Musical Preferences: What Makes a Favourite Piece of Music?

ERIC Educational Resources Information Center

Lamont, Alexandra; Webb, Rebecca

2010-01-01

Within the growing field of music preferences, little is currently known about the concept of a favourite piece of music. The current study explores listeners' nominated favourite pieces of music over short and longer time-spans, combining diary and interview methods to uncover what a favourite means, how stable it is, and what factors influence…

A Comparative Study of a Kodaly-Based Developmental Music Program and a Traditional Public School Music Program at the Kindergarten Level.

ERIC Educational Resources Information Center

Beatty, Rodger James

A 9-month longitudinal study of two kindergarten classes compared two types of music instruction: a Kodaly-based developmental music program and a traditional public school music program. The class taught through the Kodaly method received instruction that emphasized the development of rhythmic and melodic perception through visual, aural, and…

Why musical memory can be preserved in advanced Alzheimer's disease.

PubMed

Jacobsen, Jörn-Henrik; Stelzer, Johannes; Fritz, Thomas Hans; Chételat, Gael; La Joie, Renaud; Turner, Robert

2015-08-01

Musical memory is considered to be partly independent from other memory systems. In Alzheimer's disease and different types of dementia, musical memory is surprisingly robust, and likewise for brain lesions affecting other kinds of memory. However, the mechanisms and neural substrates of musical memory remain poorly understood. In a group of 32 normal young human subjects (16 male and 16 female, mean age of 28.0 ± 2.2 years), we performed a 7 T functional magnetic resonance imaging study of brain responses to music excerpts that were unknown, recently known (heard an hour before scanning), and long-known. We used multivariate pattern classification to identify brain regions that encode long-term musical memory. The results showed a crucial role for the caudal anterior cingulate and the ventral pre-supplementary motor area in the neural encoding of long-known as compared with recently known and unknown music. In the second part of the study, we analysed data of three essential Alzheimer's disease biomarkers in a region of interest derived from our musical memory findings (caudal anterior cingulate cortex and ventral pre-supplementary motor area) in 20 patients with Alzheimer's disease (10 male and 10 female, mean age of 68.9 ± 9.0 years) and 34 healthy control subjects (14 male and 20 female, mean age of 68.1 ± 7.2 years). Interestingly, the regions identified to encode musical memory corresponded to areas that showed substantially minimal cortical atrophy (as measured with magnetic resonance imaging), and minimal disruption of glucose-metabolism (as measured with (18)F-fluorodeoxyglucose positron emission tomography), as compared to the rest of the brain. However, amyloid-β deposition (as measured with (18)F-flobetapir positron emission tomography) within the currently observed regions of interest was not substantially less than in the rest of the brain, which suggests that the regions of interest were still in a very early stage of the expected course of biomarker development in these regions (amyloid accumulation → hypometabolism → cortical atrophy) and therefore relatively well preserved. Given the observed overlap of musical memory regions with areas that are relatively spared in Alzheimer's disease, the current findings may thus explain the surprising preservation of musical memory in this neurodegenerative disease. © The Author (2015). Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Musical preferences during and after relaxation and exercise.

PubMed

North, A C; Hargreaves, D J

2000-01-01

Effects of the listening context on responses to music largely have been neglected despite the prevalence of music listening in our everyday lives. This article reports 2 studies in which participants chose music of high or low arousal potential during (Experiment 1) or immediately after (Experiment 2) exercise or relaxation. In Experiment 1, participants preferred appropriate arousal-polarizing music over arousal-moderating music. In Experiment 2, participants preferred arousal-moderating music over arousal-polarizing music, such that their listening times contrasted clearly with those in the first study even though the same music and methods were used. Thus musical preferences interact with the listening situation, and participants' music selections represent an attempt to optimize their responses to that situation. When motivated to maintain a state of polarized arousal, listeners use music to achieve this; when they have no such goal, they use music to moderate arousal.

On the genre-fication of music: a percolation approach

NASA Astrophysics Data System (ADS)

Lambiotte, R.; Ausloos, M.

2006-03-01

We analyze web-downloaded data on people sharing their music library. By attributing to each music group usual music genres (Rock, Pop ...), and analysing correlations between music groups of different genres with percolation-idea based methods, we probe the reality of these subdivisions and construct a music genre cartography, with a tree representation. We also discuss an alternative objective way to classify music, that is based on the complex structure of the groups audience. Finally, a link is drawn with the theory of hidden variables in complex networks.

Introducing music as a means of habilitation for children with cochlear implants.

PubMed

Abdi, S; Khalessi, M H; Khorsandi, M; Gholami, B

2001-06-07

To investigate the feasibility, methods and the primary results of utilizing music as a means of habilitation of children with cochlear implant. A habilitation program based on music training is developed. The results are presented as a case-series. Music Training Program is introduced as a new habilitation program. Methods of training (based on Orff method) and measuring the outcomes are introduced in this paper. Effects of this program on other habilitation programs and overall hearing related skills of children were also investigated by open questioning of the parents and the habilitation staff. Twenty-three children, (age: 2.5-12.5 years) were selected. All children showed appreciable progress in playing a musical instrument. The effects on other habilitation processes were significant and all parents expressed their satisfaction with the program, as they perceived its benefits. The necessity of adding Music Training Program to the routine habilitation may be summarized as follows: Music is a feature of sound, which should be mastered. The psychological effects of being able to accomplish a hearing-related task can add to the self-esteem of children and help prevent and reduce anxiety. Music is a habilitation method: Introducing new concepts of sound, like temporal and frequency-related characteristics, is a crucial part of the habilitation of a child with cochlear implant. Practising new concepts needs motivation, too. We emphasize on using all means of rehabilitation and encourage teaching music to cochlear implant children between 4 and 5 years of age having approximately 4 months of experience with cochlear implant.

Retrieval of memories with the help of music in Alzheimer's disease.

PubMed

Chevreau, Priscilia; Nizard, Ingrid; Allain, Philippe

2017-09-01

This study focuses on music as a mediator facilitating access to autobiographical memory in Alzheimer's disease (AD). Studies on this topic are rare, but available data have shown a beneficial effect of music on autobiographical performance in AD patients. Based on the "index word" method, we developed the "index music" method for the evaluation of autobiographical memory. The subjects had to tell a memory of their choice from the words or music presented to them. The task was proposed to 54 patients with diagnosis of AD according to DSM IV and NINCDS-ADRDA criteria. All of them had a significant cognitive decline on the MMSE (mean score: 14.5). Patients were matched by age, sex and level of education with 48 control subjects without cognitive impairment (mean score on the MMSE: 28). Results showed that autobiographical memory quantity scores of AD patients were significantly lower than those of healthy control in both methods. However, autobiographical memory quality scores of AD patients increased with "index music" whereas autobiographical memory quality scores of healthy control decreased. Also, the autobiographical performance of patients with AD in condition index music was not correlated with cognitive performance in contrast to the autobiographical performances in index word. These results confirm that music improves access to personal memories in patients with AD. Personal memories could be preserved in patients with AD and music could constitute an interesting way to stimulate recollection.

#nowplaying Madonna: a large-scale evaluation on estimating similarities between music artists and between movies from microblogs.

PubMed

Schedl, Markus

2012-01-01

Different term weighting techniques such as [Formula: see text] or BM25 have been used intensely for manifold text-based information retrieval tasks. Their use for modeling term profiles for named entities and subsequent calculation of similarities between these named entities have been studied to a much smaller extent. The recent trend of microblogging made available massive amounts of information about almost every topic around the world. Therefore, microblogs represent a valuable source for text-based named entity modeling. In this paper, we present a systematic and comprehensive evaluation of different term weighting measures , normalization techniques , query schemes , index term sets , and similarity functions for the task of inferring similarities between named entities, based on data extracted from microblog posts . We analyze several thousand combinations of choices for the above mentioned dimensions, which influence the similarity calculation process, and we investigate in which way they impact the quality of the similarity estimates. Evaluation is performed using three real-world data sets: two collections of microblogs related to music artists and one related to movies. For the music collections, we present results of genre classification experiments using as benchmark genre information from allmusic.com. For the movie collection, we present results of multi-class classification experiments using as benchmark categories from IMDb. We show that microblogs can indeed be exploited to model named entity similarity with remarkable accuracy, provided the correct settings for the analyzed aspects are used. We further compare the results to those obtained when using Web pages as data source.

Adolescents and Music Lyrics: Implications of a Cognitive Perspective.

ERIC Educational Resources Information Center

Desmond, Roger Jon

1987-01-01

Addresses the relevance of cognitive research in memory processes and auditory information processing for the resolution of policy issues concerning the regulation of popular music. Offers several assumptions regarding music listening, and suggests appropriate research methods for resolving questions surrounding music listening and regulation.…

Acoustic Longitudinal Field NIF Optic Feature Detection Map Using Time-Reversal & MUSIC

DOE Office of Scientific and Technical Information (OSTI.GOV)

Lehman, S K

2006-02-09

We developed an ultrasonic longitudinal field time-reversal and MUltiple SIgnal Classification (MUSIC) based detection algorithm for identifying and mapping flaws in fused silica NIF optics. The algorithm requires a fully multistatic data set, that is one with multiple, independently operated, spatially diverse transducers, each transmitter of which, in succession, launches a pulse into the optic and the scattered signal measured and recorded at every receiver. We have successfully localized engineered ''defects'' larger than 1 mm in an optic. We confirmed detection and localization of 3 mm and 5 mm features in experimental data, and a 0.5 mm in simulated datamore » with sufficiently high signal-to-noise ratio. We present the theory, experimental results, and simulated results.« less

Ecoacoustic Music for Geoscience: Sonic Physiographies and Sound Casting

NASA Astrophysics Data System (ADS)

Burtner, M.

2017-12-01

The author describes specific ecoacoustic applications in his original compositions, Sonic Physiography of a Time-Stretched Glacier (2015), Catalog of Roughness (2017), Sound Cast of Matanuska Glacier (2016) and Ecoacoustic Concerto (Eagle Rock) (2014). Ecoacoustic music uses technology to map systems from nature into music through techniques such as sonification, material amplification, and field recording. The author aspires for this music to be descriptive of the data (as one would expect from a visualization) and also to function as engaging and expressive music/sound art on its own. In this way, ecoacoustic music might provide a fitting accompaniment to a scientific presentation (such as music for a science video) while also offering an exemplary concert hall presentation for a dedicated listening public. The music can at once support the communication of scientific research, and help science make inroads into culture. The author discusses how music created using the data, sounds and methods derived from earth science can recast this research into a sonic art modality. Such music can amplify the communication and dissemination of scientific knowledge by broadening the diversity of methods and formats we use to bring excellent scientific research to the public. Music can also open the public's imagination to science, inspiring curiosity and emotional resonance. Hearing geoscience as music may help a non-scientist access scientific knowledge in new ways, and it can greatly expand the types of venues in which this work can appear. Anywhere music is played - concert halls, festivals, galleries, radio, etc - become a venue for scientific discovery.

Localization of extended brain sources from EEG/MEG: the ExSo-MUSIC approach.

PubMed

Birot, Gwénaël; Albera, Laurent; Wendling, Fabrice; Merlet, Isabelle

2011-05-01

We propose a new MUSIC-like method, called 2q-ExSo-MUSIC (q ≥ 1). This method is an extension of the 2q-MUSIC (q ≥ 1) approach for solving the EEG/MEG inverse problem, when spatially-extended neocortical sources ("ExSo") are considered. It introduces a novel ExSo-MUSIC principle. The novelty is two-fold: i) the parameterization of the spatial source distribution that leads to an appropriate metric in the context of distributed brain sources and ii) the introduction of an original, efficient and low-cost way of optimizing this metric. In 2q-ExSo-MUSIC, the possible use of higher order statistics (q ≥ 2) offers a better robustness with respect to Gaussian noise of unknown spatial coherence and modeling errors. As a result we reduced the penalizing effects of both the background cerebral activity that can be seen as a Gaussian and spatially correlated noise, and the modeling errors induced by the non-exact resolution of the forward problem. Computer results on simulated EEG signals obtained with physiologically-relevant models of both the sources and the volume conductor show a highly increased performance of our 2q-ExSo-MUSIC method as compared to the classical 2q-MUSIC algorithms. Copyright © 2011 Elsevier Inc. All rights reserved.

Integrating Music into the Elementary Classroom. Fourth Edition.

ERIC Educational Resources Information Center

Anderson, William M.; Lawrence, Joy E.

This book emphasizes the importance of enriching children's lives by making music a central part of the elementary school curriculum. The book provides guidelines for elementary teachers with limited experience as well as music specialists. The book is comprehensive, covering music fundamentals as well as materials and methods for teaching music…

Flash Study Analysis and the Music Learning Pro-Files Project

ERIC Educational Resources Information Center

Cremata, Radio; Pignato, Joseph; Powell, Bryan; Smith, Gareth Dylan

2016-01-01

This paper introduces the Music Learning Profiles Project, and its methodological approach, flash study analysis. Flash study analysis is a method that draws heavily on extant qualitative approaches to education research, to develop broad understandings of music learning in diverse contexts. The Music Learning Profiles Project (MLPP) is an…

Music as Method: Musically Enhanced Narrative Inquiry

ERIC Educational Resources Information Center

Bolden, Benjamin

2017-01-01

While artist-researchers have been productive within the domains of the literary arts, visual arts, dance and drama, there is little musical arts-based educational research reported in the literature. This article introduces a research methodology to address this deficit: musically enhanced narrative inquiry (MENI). The article describes the…

Toward an Integrated Curriculum: A Music Education Perspective.

ERIC Educational Resources Information Center

Kelly, Margaret M.

This project was designed to develop a model for teaching general music methods for elementary/early childhood education majors using musics of diverse cultures as discrete and infused entities, integrated across the curriculum. The proposed model's primary goal was to develop student awareness of sources of culturally diverse music and related…

Variance fluctuations in nonstationary time series: a comparative study of music genres

NASA Astrophysics Data System (ADS)

Jennings, Heather D.; Ivanov, Plamen Ch.; De Martins, Allan M.; da Silva, P. C.; Viswanathan, G. M.

2004-05-01

An important problem in physics concerns the analysis of audio time series generated by transduced acoustic phenomena. Here, we develop a new method to quantify the scaling properties of the local variance of nonstationary time series. We apply this technique to analyze audio signals obtained from selected genres of music. We find quantitative differences in the correlation properties of high art music, popular music, and dance music. We discuss the relevance of these objective findings in relation to the subjective experience of music.

Colour Association with Music Is Mediated by Emotion: Evidence from an Experiment Using a CIE Lab Interface and Interviews

PubMed Central

Lindborg, PerMagnus; Friberg, Anders K.

2015-01-01

Crossmodal associations may arise at neurological, perceptual, cognitive, or emotional levels of brain processing. Higher-level modal correspondences between musical timbre and visual colour have been previously investigated, though with limited sets of colour. We developed a novel response method that employs a tablet interface to navigate the CIE Lab colour space. The method was used in an experiment where 27 film music excerpts were presented to participants (n = 22) who continuously manipulated the colour and size of an on-screen patch to match the music. Analysis of the data replicated and extended earlier research, for example, that happy music was associated with yellow, music expressing anger with large red colour patches, and sad music with smaller patches towards dark blue. Correlation analysis suggested patterns of relationships between audio features and colour patch parameters. Using partial least squares regression, we tested models for predicting colour patch responses from audio features and ratings of perceived emotion in the music. Parsimonious models that included emotion robustly explained between 60% and 75% of the variation in each of the colour patch parameters, as measured by cross-validated R 2. To illuminate the quantitative findings, we performed a content analysis of structured spoken interviews with the participants. This provided further evidence of a significant emotion mediation mechanism, whereby people tended to match colour association with the perceived emotion in the music. The mixed method approach of our study gives strong evidence that emotion can mediate crossmodal association between music and visual colour. The CIE Lab interface promises to be a useful tool in perceptual ratings of music and other sounds. PMID:26642050

Colour Association with Music Is Mediated by Emotion: Evidence from an Experiment Using a CIE Lab Interface and Interviews.

PubMed

Lindborg, PerMagnus; Friberg, Anders K

2015-01-01

Crossmodal associations may arise at neurological, perceptual, cognitive, or emotional levels of brain processing. Higher-level modal correspondences between musical timbre and visual colour have been previously investigated, though with limited sets of colour. We developed a novel response method that employs a tablet interface to navigate the CIE Lab colour space. The method was used in an experiment where 27 film music excerpts were presented to participants (n = 22) who continuously manipulated the colour and size of an on-screen patch to match the music. Analysis of the data replicated and extended earlier research, for example, that happy music was associated with yellow, music expressing anger with large red colour patches, and sad music with smaller patches towards dark blue. Correlation analysis suggested patterns of relationships between audio features and colour patch parameters. Using partial least squares regression, we tested models for predicting colour patch responses from audio features and ratings of perceived emotion in the music. Parsimonious models that included emotion robustly explained between 60% and 75% of the variation in each of the colour patch parameters, as measured by cross-validated R2. To illuminate the quantitative findings, we performed a content analysis of structured spoken interviews with the participants. This provided further evidence of a significant emotion mediation mechanism, whereby people tended to match colour association with the perceived emotion in the music. The mixed method approach of our study gives strong evidence that emotion can mediate crossmodal association between music and visual colour. The CIE Lab interface promises to be a useful tool in perceptual ratings of music and other sounds.

The Integration of Visual Expression in Music Education for Children

ERIC Educational Resources Information Center

Roels, Johanna Maria; Van Petegem, Peter

2014-01-01

This study is the result of a two-year experimental collaboration with children from my piano class. Together, the children and I designed a method that uses visual expression as a starting point for composing and visualising music-theoretical concepts. In this method various dimensions of musicality such as listening, creating, noting down and…

Teaching Teachers: Methods and Experiences Used in Educating Doctoral Students to Prepare Preservice Music Educators

ERIC Educational Resources Information Center

Kelly, Steven N.; VanWeelden, Kimberly

2017-01-01

This investigation addressed methods and experiences used to educate doctoral music education students to work as university college professors. Selected faculty representing every institution offering a Ph.D. in music education in the United States and Canada (N = 46) were sent an online questionnaire concerning (1) the extent respondents…

The do re mi's of everyday life: the structure and personality correlates of music preferences.

PubMed

Rentfrow, Peter J; Gosling, Samuel D

2003-06-01

The present research examined individual differences in music preferences. A series of 6 studies investigated lay beliefs about music, the structure underlying music preferences, and the links between music preferences and personality. The data indicated that people consider music an important aspect of their lives and listening to music an activity they engaged in frequently. Using multiple samples, methods, and geographic regions, analyses of the music preferences of over 3,500 individuals converged to reveal 4 music-preference dimensions: Reflective and Complex, Intense and Rebellious, Upbeat and Conventional, and Energetic and Rhythmic. Preferences for these music dimensions were related to a wide array of personality dimensions (e.g., Openness), self-views (e.g., political orientation), and cognitive abilities (e.g., verbal IQ).

Role of music therapy in integrative oncology.

PubMed

Magill, Lucanne

2006-01-01

Music therapy is an evidence-based complementary therapy that enhances quality of life in cancer patients and their caregivers. The role of music therapy in integrative oncology encompassed care and treatment of patients and family members , ongoing collaboration with the health care team, and the provision of music therapy services that may benefit the cancer center community. Clinical work includes ongoing assessment and the implementation of specific music therapy techniques aimed at reducing challenging symptoms and enhancing overall well-being and quality of life. This article outlines music therapy methods and the role that the music therapist has in integrative oncology programs.

Scientific perspectives on music therapy.

PubMed

Hillecke, Thomas; Nickel, Anne; Bolay, Hans Volker

2005-12-01

What needs to be done on the long road to evidence-based music therapy? First of all, an adequate research strategy is required. For this purpose the general methodology for therapy research should be adopted. Additionally, music therapy needs a variety of methods of allied fields to contribute scientific findings, including mathematics, natural sciences, behavioral and social sciences, as well as the arts. Pluralism seems necessary as well as inevitable. At least two major research problems can be identified, however, that make the path stony: the problem of specificity and the problem of eclecticism. Neuroscientific research in music is giving rise to new ideas, perspectives, and methods; they seem to be promising prospects for a possible contribution to a theoretical and empirical scientific foundation for music therapy. Despite the huge heterogeneity of theoretical approaches in music therapy, an integrative model of working ingredients in music therapy is useful as a starting point for empirical studies in order to question what specifically works in music therapy. For this purpose, a heuristic model, consisting of five music therapy working factors (attention modulation, emotion modulation, cognition modulation, behavior modulation, and communication modulation) has been developed by the Center for Music Therapy Research (Viktor Dulger Institute) in Heidelberg. Evidence shows the effectiveness of music therapy for treating certain diseases, but the question of what it is in music therapy that works remains largely unanswered. The authors conclude with some questions to neuroscientists, which we hope may help elucidate relevant aspects of a possible link between the two disciplines.

[Music therapy for dementia and higher cognitive dysfunction: a review].

PubMed

Satoh, Masayuki

2011-12-01

Music is known to affect the human mind and body. Music therapy utilizes the effects of music for medical purposes. The history of music therapy is quite long, but only limited evidence supports its usefulness in the treatment of higher cognitive dysfunction. As for dementia, some studies conclude that music therapy is effective for preventing cognitive deterioration and the occurrence of behavioral and psychological symptoms of dementia (BPSD). In patients receiving music therapy for the treatment of higher cognitive dysfunction, aphasia was reported as the most common symptom. Many studies have been conducted to determine whether singing can improve aphasic symptoms: singing familiar and/or unfamiliar songs did not show any positive effect on aphasia. Melodic intonation therapy (MIT) is a method that utilizes melody and rhythm to improve speech output. MIT is a method that is known to have positive effects on aphasic patients. Some studies of music therapy for patients with unilateral spatial neglect; apraxia; hemiparesis; and walking disturbances, including parkinsonian gait, are available in the literature. Studies showed that the symptoms of unilateral spatial neglect and hemiparesis significantly improved when musical instruments were played for several months as a part of the music therapy. Here, I describe my study in which mental singing showed a positive effect on parkinsonian gait. Music is interesting, and every patient can go through training without any pain. Future studies need to be conducted to establish evidence of the positive effects of music therapy on neurological and neuropsychological symptoms.

Teacher Training: Music Methods for an Internationalized Approach to Instruction

ERIC Educational Resources Information Center

VanAlstine, Sharri

2016-01-01

How can music teachers and students connect with music and cultures in an honest and meaningful manner? Can music instruction increase intercultural skills and international-mindedness? If these initiatives are important, pre-service teachers need to know how to address these issues in their classroom content and pedagogy. In an effort to assist…

A Chronicle of School Music Education in Hungary, 1700-2012

ERIC Educational Resources Information Center

Kiss, Boglarka

2013-01-01

This inquiry is a chronological overview of the history of school music education in Hungary. The study explores the topic from a large-scale humanistic perspective, in which historical context, general education laws, individual institutions and music educators, as well as music curriculum, textbooks, and teaching methods serve as evidence. The…

The Dalcroze Approach to Music Education: Theory and Applications

ERIC Educational Resources Information Center

Anderson, William Todd

2012-01-01

The methods of the Dalcroze approach to music education--eurhythmics, solfege, and improvisation--have had a profound influence on modern music education. In particular, the overt training in kinesthetic abilities, and the assertion that the relationship between music and movement is an intimate one, is at the heart of Dalcroze's approach to…

The Influence of Informal Music Education in Teacher Formation: An Autoethnography

ERIC Educational Resources Information Center

Nethsinghe, Rohan

2012-01-01

In this paper I explore how my musical background, teaching skills, understanding and knowledge as well as music-making abilities and skills, have formed my current self as musician, teacher and researcher. An autoethnographical method is used to investigate my background, including the different modes of music education I received. From this…

Music in the moment? Revisiting the effect of large scale structures.

PubMed

Lalitte, P; Bigand, E

2006-12-01

The psychological relevance of large-scale musical structures has been a matter of debate in the music community. This issue was investigated with a method that allows assessing listeners' detection of musical incoherencies in normal and scrambled versions of popular and contemporary music pieces. Musical excerpts were segmented into 28 or 29 chunks. In the scrambled version, the temporal order of these chunks was altered with the constraint that the transitions between two chunks never created local acoustical and musical disruptions. Participants were required (1) to detect on-line incoherent linking of chunks, (2) to rate aesthetic quality of pieces, and (3) to evaluate their overall coherence. The findings indicate a moderate sensitivity to large-scale musical structures for popular and contemporary music in both musically trained and untrained listeners. These data are discussed in light of current models of music cognition.

Verticality and containment in song and improvisation: an application of schema theory to Nordoff-Robbins music therapy.

PubMed

Aigen, Kenneth

2009-01-01

This study illustrates the use of a new musicological method for analyzing music in music therapy. It examines two pieces of clinical music through the constructs of schema theory. It begins with an argument for enhanced musical analysis in music therapy as a means of elevating the status of explanation in music therapy. Schema theory is introduced as a means of integrating musical with clinical concerns. Some basic ideas in schema theory are explained and the schemas of VERTICALITY and CONTAINER are presented as central ones in the analysis of music. Two transcriptions-one of a composed song and one of an improvisation-are examined in detail to illustrate how decisions in the temporal, melodic, and harmonic dimensions of the music are linked to specific clinical goals. The article concludes with a discussion of the implications of this type of musicological analysis for explanatory theory in music therapy.

Music score watermarking by clef modifications

NASA Astrophysics Data System (ADS)

Schmucker, Martin; Yan, Hongning

2003-06-01

In this paper we present a new method for hiding data in music scores. In contrast to previous published algorithms we investigate the possibilities of embedding information in clefs. Using the clef as information carrier has two advantages: First, a clef is present in each staff line which guarantees a fixed capacity. Second, the clef defines the reference system for musical symbols and music containing symbols, e.g. the notes and the rests, are not degraded by manipulations. Music scores must be robust against greyscale to binary conversion. As a consequence, the information is embedded by modifying the black and white distribution of pixels in certain areas. We evaluate simple image processing mechanisms based on erosion and dilation for embedding the information. For retrieving the watermark the b/w-distribution is extracted from the given clef. To solve the synchronization problem the watermarked clef is normalized in a pre-processing step. The normalization is based on moments. The areas used for watermarking are calculated by image segmentation techniques which consider the features of a clef. We analyze capacity and robustness of the proposed method using different parameters for our proposed method. This proposed method can be combined with other music score watermarking methods to increase the capacity of existing watermarking techniques.

Conditions That Facilitate Music Learning among Students with Special Needs: A Mixed-Methods Inquiry

ERIC Educational Resources Information Center

Gerrity, Kevin W.; Hourigan, Ryan M.; Horton, Patrick W.

2013-01-01

The purpose of this mixed-methods study was to identify and define the conditions that facilitate learning in music among students with special needs. Children with special needs met once a week for 10 consecutive weeks and received instruction in primarily music as well as the other arts. The children completed pre- and posttest evaluations that…

Monaural room acoustic parameters from music and speech.

PubMed

Kendrick, Paul; Cox, Trevor J; Li, Francis F; Zhang, Yonggang; Chambers, Jonathon A

2008-07-01

This paper compares two methods for extracting room acoustic parameters from reverberated speech and music. An approach which uses statistical machine learning, previously developed for speech, is extended to work with music. For speech, reverberation time estimations are within a perceptual difference limen of the true value. For music, virtually all early decay time estimations are within a difference limen of the true value. The estimation accuracy is not good enough in other cases due to differences between the simulated data set used to develop the empirical model and real rooms. The second method carries out a maximum likelihood estimation on decay phases at the end of notes or speech utterances. This paper extends the method to estimate parameters relating to the balance of early and late energies in the impulse response. For reverberation time and speech, the method provides estimations which are within the perceptual difference limen of the true value. For other parameters such as clarity, the estimations are not sufficiently accurate due to the natural reverberance of the excitation signals. Speech is a better test signal than music because of the greater periods of silence in the signal, although music is needed for low frequency measurement.

Exploring the role of music therapy in cardiac rehabilitation after cardiothoracic surgery: a qualitative study using the Bonny method of guided imagery and music.

PubMed

Short, Alison; Gibb, Heather; Fildes, Jennifer; Holmes, Colin

2013-01-01

Cardiac rehabilitation integrates physical, psychological, and vocational strategies to restore and sustain optimal health. An innovative study using music therapy (Bonny Method of Guided Imagery and Music [BMGIM]) explored the experiences of cardiac rehabilitation participants in an outpatient setting at 2 major metropolitan teaching hospitals. Commencing 6 to 15 weeks after cardiothoracic surgery, 6 study participants were recruited for 6 weekly music therapy (BMGIM) sessions. Qualitative analysis of the patient narrative within a semiotic framework demonstrated that patients used music therapy to spontaneously explore their recovery process. Five grand themes emerged: (1) looking through the frame, (2) feeling the impact, (3) spiralling into the unexpected, (4) sublime plateau, and (5) rehearsing new steps. The themes related to physical changes, adjustment after surgery, and anticipated lifestyle. This study demonstrates that music therapy (BMGIM) may be used to access and understand the internal recovery process of postcardiothoracic surgical patients, providing an additional clinical tool to augment the external rehabilitation process.

Modified DCTNet for audio signals classification

NASA Astrophysics Data System (ADS)

Xian, Yin; Pu, Yunchen; Gan, Zhe; Lu, Liang; Thompson, Andrew

2016-10-01

In this paper, we investigate DCTNet for audio signal classification. Its output feature is related to Cohen's class of time-frequency distributions. We introduce the use of adaptive DCTNet (A-DCTNet) for audio signals feature extraction. The A-DCTNet applies the idea of constant-Q transform, with its center frequencies of filterbanks geometrically spaced. The A-DCTNet is adaptive to different acoustic scales, and it can better capture low frequency acoustic information that is sensitive to human audio perception than features such as Mel-frequency spectral coefficients (MFSC). We use features extracted by the A-DCTNet as input for classifiers. Experimental results show that the A-DCTNet and Recurrent Neural Networks (RNN) achieve state-of-the-art performance in bird song classification rate, and improve artist identification accuracy in music data. They demonstrate A-DCTNet's applicability to signal processing problems.

A Case Study of Diverse Multimodal Influences on Music Improvisation Using Visual Methodology

ERIC Educational Resources Information Center

Tomlinson, Michelle M.

2016-01-01

This case study employed multimodal methods and visual analysis to explore how a young multilingual student used music improvisation to form a speech rap. This student, recently arrived in Australia from Ethiopia, created piano music that was central to his music identity and that simultaneously, through dialogue with his mother, enhanced his…

Improving Music Skills of Elementary Students with Notation-Reading and Sight-Singing.

ERIC Educational Resources Information Center

Harding, Mary H.

A music educator designed for elementary school students who were musically unskilled a curriculum that was based on the methods of Kodaly and Orff, the philosophy of Warrener, and traditional music education concepts. A heterogeneous group of 606 second- through sixth-grade students in 4 schools participated in implementation of the curriculum.…

YouTube, Fanvids, Forums, Vlogs and Blogs: Informal Music Learning in a Convergent on- and Offline Music Community

ERIC Educational Resources Information Center

Waldron, Janice

2013-01-01

In this paper I examine the music learning and teaching in the Banjo Hangout online music community (www.banjohangout.org/) using cyber ethnographic methods of interview and participant observation conducted entirely through computer-mediated communication, which includes Skype and written narrative texts--forum posts, email, chat room…

In the Suzuki Style: A Manual for Raising Musical Consciousness in Children.

ERIC Educational Resources Information Center

Mills, Elizabeth

This book offers practical suggestions by parents on how to encourage young children musically, specifically using the Suzuki method for listening to music and practicing. The book is divided into the following chapters: (1) "Ten Reasons Why Musical Training Can and Should Be Started Early"; (2) "Advice From Parents: Ways To Encourage Children…

Composing and Performing in the Key Stage 3 Classroom: A Study using Multi-Trait, Multi-Method Analysis

ERIC Educational Resources Information Center

Fowler, Andrew

2014-01-01

"Music is both a creative and a performing art" (Hallam, 2006, p. 70). Many musicians and music educators maintain that composing and performing, although related, are essentially different aspects of musical activity. In the professional musical sphere, composition and performance are almost invariably separated; academic studies have…

Opinions of University Music Teachers on the Musical Competencies Necessary for Primary Education Teachers

ERIC Educational Resources Information Center

Begic, Jasna Šulentic; Begic, Amir; Škojo, Tihana

2017-01-01

This paper describes the research conducted in the Republic of Croatia during the 2012/13 academic year. We have gathered opinions from experts, i.e. teaching methods teachers from seven faculties of teacher education, regarding the music teaching competencies necessary for primary education teachers teaching music in the first several grades of…

Crossing the Boundary from Music outside to inside of School: Contemporary Pedagogical Challenges

ERIC Educational Resources Information Center

Wallerstedt, Cecilia; Lindgren, Monica

2016-01-01

Music education in formal settings has the last decades been characterised by informal methods borrowed from outside school. In this study we analyse situations in Swedish secondary school where pupils' experience of music outside school becomes visible in music class. Pedagogical challenges in these situations are identified that concern how to…

The "Method" of Democracy in Music Education

ERIC Educational Resources Information Center

Vakeva, Lauri; Westerlund, Heidi

2007-01-01

The winning of an artist representing the lowest level of Finnish musical taste during the 2006 Eurovision song contest marks not only the rebellious attitude towards the over-sanitized contest, but it was the result of a new practice--voting by text message. Recently, music-biased schools that were once selective of the music they teach are now…

Generate the scale-free brain music from BOLD signals

PubMed Central

Lu, Jing; Guo, Sijia; Chen, Mingming; Wang, Weixia; Yang, Hua; Guo, Daqing; Yao, Dezhong

2018-01-01

Abstract Many methods have been developed to translate a human electroencephalogram (EEG) into music. In addition to EEG, functional magnetic resonance imaging (fMRI) is another method used to study the brain and can reflect physiological processes. In 2012, we established a method to use simultaneously recorded fMRI and EEG signals to produce EEG-fMRI music, which represents a step toward scale-free brain music. In this study, we used a neural mass model, the Jansen–Rit model, to simulate activity in several cortical brain regions. The interactions between different brain regions were represented by the average normalized diffusion tensor imaging (DTI) structural connectivity with a coupling coefficient that modulated the coupling strength. Seventy-eight brain regions were adopted from the Automated Anatomical Labeling (AAL) template. Furthermore, we used the Balloon–Windkessel hemodynamic model to transform neural activity into a blood-oxygen-level dependent (BOLD) signal. Because the fMRI BOLD signal changes slowly, we used a sampling rate of 250 Hz to produce the temporal series for music generation. Then, the BOLD music was generated for each region using these simulated BOLD signals. Because the BOLD signal is scale free, these music pieces were also scale free, which is similar to classic music. Here, to simulate the case of an epileptic patient, we changed the parameter that determined the amplitude of the excitatory postsynaptic potential (EPSP) in the neural mass model. Finally, we obtained BOLD music for healthy and epileptic patients. The differences in levels of arousal between the 2 pieces of music may provide a potential tool for discriminating the different populations if the differences can be confirmed by more real data. PMID:29480872

Generate the scale-free brain music from BOLD signals.

PubMed

Lu, Jing; Guo, Sijia; Chen, Mingming; Wang, Weixia; Yang, Hua; Guo, Daqing; Yao, Dezhong

2018-01-01

Many methods have been developed to translate a human electroencephalogram (EEG) into music. In addition to EEG, functional magnetic resonance imaging (fMRI) is another method used to study the brain and can reflect physiological processes. In 2012, we established a method to use simultaneously recorded fMRI and EEG signals to produce EEG-fMRI music, which represents a step toward scale-free brain music. In this study, we used a neural mass model, the Jansen-Rit model, to simulate activity in several cortical brain regions. The interactions between different brain regions were represented by the average normalized diffusion tensor imaging (DTI) structural connectivity with a coupling coefficient that modulated the coupling strength. Seventy-eight brain regions were adopted from the Automated Anatomical Labeling (AAL) template. Furthermore, we used the Balloon-Windkessel hemodynamic model to transform neural activity into a blood-oxygen-level dependent (BOLD) signal. Because the fMRI BOLD signal changes slowly, we used a sampling rate of 250 Hz to produce the temporal series for music generation. Then, the BOLD music was generated for each region using these simulated BOLD signals. Because the BOLD signal is scale free, these music pieces were also scale free, which is similar to classic music. Here, to simulate the case of an epileptic patient, we changed the parameter that determined the amplitude of the excitatory postsynaptic potential (EPSP) in the neural mass model. Finally, we obtained BOLD music for healthy and epileptic patients. The differences in levels of arousal between the 2 pieces of music may provide a potential tool for discriminating the different populations if the differences can be confirmed by more real data. Copyright © 2017 The Authors. Published by Wolters Kluwer Health, Inc. All rights reserved.

A cancelable biometric scheme based on multi-lead ECGs.

PubMed

Peng-Tzu Chen; Shun-Chi Wu; Jui-Hsuan Hsieh

2017-07-01

Biometric technologies offer great advantages over other recognition methods, but there are concerns that they may compromise the privacy of individuals. In this paper, an electrocardiogram (ECG)-based cancelable biometric scheme is proposed to relieve such concerns. In this scheme, distinct biometric templates for a given beat bundle are constructed via "subspace collapsing." To determine the identity of any unknown beat bundle, the multiple signal classification (MUSIC) algorithm, incorporating a "suppression and poll" strategy, is adopted. Unlike the existing cancelable biometric schemes, knowledge of the distortion transform is not required for recognition. Experiments with real ECGs from 285 subjects are presented to illustrate the efficacy of the proposed scheme. The best recognition rate of 97.58 % was achieved under the test condition N train = 10 and N test = 10.

Towards parameter-free classification of sound effects in movies

NASA Astrophysics Data System (ADS)

Chu, Selina; Narayanan, Shrikanth; Kuo, C.-C. J.

2005-08-01

The problem of identifying intense events via multimedia data mining in films is investigated in this work. Movies are mainly characterized by dialog, music, and sound effects. We begin our investigation with detecting interesting events through sound effects. Sound effects are neither speech nor music, but are closely associated with interesting events such as car chases and gun shots. In this work, we utilize low-level audio features including MFCC and energy to identify sound effects. It was shown in previous work that the Hidden Markov model (HMM) works well for speech/audio signals. However, this technique requires a careful choice in designing the model and choosing correct parameters. In this work, we introduce a framework that will avoid such necessity and works well with semi- and non-parametric learning algorithms.

There's Madness in Your Method: A Philosophical Exploration into the Thought of Paul Feyerabend and Its Implications for Music Education

ERIC Educational Resources Information Center

Louth, Paul

2014-01-01

Drawing on the work of the philosopher of science Paul Feyerabend, this paper argues that the popular yet mistaken notion of scientific method has had a deleterious effect on music education by discouraging us from embracing conflict or pursuing counterinductive ways of thinking about music. Feyerabend argues that knowledge advances not according…

Hierarchical temporal structure in music, speech and animal vocalizations: jazz is like a conversation, humpbacks sing like hermit thrushes.

PubMed

Kello, Christopher T; Bella, Simone Dalla; Médé, Butovens; Balasubramaniam, Ramesh

2017-10-01

Humans talk, sing and play music. Some species of birds and whales sing long and complex songs. All these behaviours and sounds exhibit hierarchical structure-syllables and notes are positioned within words and musical phrases, words and motives in sentences and musical phrases, and so on. We developed a new method to measure and compare hierarchical temporal structures in speech, song and music. The method identifies temporal events as peaks in the sound amplitude envelope, and quantifies event clustering across a range of timescales using Allan factor (AF) variance. AF variances were analysed and compared for over 200 different recordings from more than 16 different categories of signals, including recordings of speech in different contexts and languages, musical compositions and performances from different genres. Non-human vocalizations from two bird species and two types of marine mammals were also analysed for comparison. The resulting patterns of AF variance across timescales were distinct to each of four natural categories of complex sound: speech, popular music, classical music and complex animal vocalizations. Comparisons within and across categories indicated that nested clustering in longer timescales was more prominent when prosodic variation was greater, and when sounds came from interactions among individuals, including interactions between speakers, musicians, and even killer whales. Nested clustering also was more prominent for music compared with speech, and reflected beat structure for popular music and self-similarity across timescales for classical music. In summary, hierarchical temporal structures reflect the behavioural and social processes underlying complex vocalizations and musical performances. © 2017 The Author(s).

The impact of music therapy versus music medicine on psychological outcomes and pain in cancer patients: a mixed methods study.

PubMed

Bradt, Joke; Potvin, Noah; Kesslick, Amy; Shim, Minjung; Radl, Donna; Schriver, Emily; Gracely, Edward J; Komarnicky-Kocher, Lydia T

2015-05-01

The purpose of this study was to compare the impact of music therapy (MT) versus music medicine (MM) interventions on psychological outcomes and pain in cancer patients and to enhance understanding of patients' experiences of these two types of music interventions. This study employed a mixed methods intervention design in which qualitative data were embedded within a randomized cross-over trial. Thirty-one adult cancer patients participated in two sessions that involved interactive music making with a music therapist (MT) and two sessions in which they listened to pre-recorded music without the presence of a therapist (MM). Before and after each session, participants reported on their mood, anxiety, relaxation, and pain by means of visual analogue and numeric rating scales. Thirty participants completed an exit interview. The quantitative data suggest that both interventions were equally effective in enhancing target outcomes. However, 77.4 % of participants expressed a preference for MT sessions. The qualitative data indicate that music improves symptom management, embodies hope for survival, and helps connect to a pre-illness self, but may also access memories of loss and trauma. MT sessions helped participants tap into inner resources such as playfulness and creativity. Interactive music making also allowed for emotional expression. Some participants preferred the familiarity and predictability of listening to pre-recorded music. The findings of this study advocate for the use of music in cancer care. Treatment benefits may depend on patient characteristics such as outlook on life and readiness to explore emotions related to the cancer experience.

Classification of a set of vectors using self-organizing map- and rule-based technique

NASA Astrophysics Data System (ADS)

Ae, Tadashi; Okaniwa, Kaishirou; Nosaka, Kenzaburou

2005-02-01

There exist various objects, such as pictures, music, texts, etc., around our environment. We have a view for these objects by looking, reading or listening. Our view is concerned with our behaviors deeply, and is very important to understand our behaviors. We have a view for an object, and decide the next action (data selection, etc.) with our view. Such a series of actions constructs a sequence. Therefore, we propose a method which acquires a view as a vector from several words for a view, and apply the vector to sequence generation. We focus on sequences of the data of which a user selects from a multimedia database containing pictures, music, movie, etc... These data cannot be stereotyped because user's view for them changes by each user. Therefore, we represent the structure of the multimedia database as the vector representing user's view and the stereotyped vector, and acquire sequences containing the structure as elements. Such a vector can be classified by SOM (Self-Organizing Map). Hidden Markov Model (HMM) is a method to generate sequences. Therefore, we use HMM of which a state corresponds to the representative vector of user's view, and acquire sequences containing the change of user's view. We call it Vector-state Markov Model (VMM). We introduce the rough set theory as a rule-base technique, which plays a role of classifying the sets of data such as the sets of "Tour".

Music Therapy and Spiritual Care in End-of-Life: A Qualitative Inquiry into Ethics and Training Issues Identified by Chaplains and Music Therapists.

PubMed

Masko, Meganne K

2016-01-01

Music therapists are increasingly employed by hospices. As such, they are often called upon to provide additional spiritual care to patients receiving end-of-life care. However, researchers have not yet examined the appropriateness of music therapists providing spiritual care as part of the hospice team, or ethics and training issues related to music therapist-led spiritual care. The purpose of this study was to explore the thoughts and attitudes of hospice chaplains and music therapists (MTs) about ethics and training issues related to music therapists providing spiritual care as part of the hospice interdisciplinary team. The study used semi-structured interviews with a purposive sample of music therapists and chaplains specializing in hospice care as part of a larger exploratory mixed methods study. Each interview was recorded, transcribed, and analyzed using a two-step process including both a modified phenomenological inductive approach and thematic analysis. Participants discussed ethics and training issues related to the provision of music therapist-led spiritual care as part of the hospice team. These issues included scope of practice, cultural competence and maintaining personal boundaries, and spiritual care training topics such as educational content and educational methods. While it was clear that both chaplains and music therapists felt it was appropriate for music therapists to provide spiritual care as part of the hospice team, there is a need for formal and informal spiritual care training for music therapists doing this type of work. Training should potentially include information about comparative religions, cultural competence, scope of practice, and maintaining personal boundaries. © the American Music Therapy Association 2016. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Music and Dyslexia: A New Musical Training Method to Improve Reading and Related Disorders

PubMed Central

Habib, Michel; Lardy, Chloé; Desiles, Tristan; Commeiras, Céline; Chobert, Julie; Besson, Mireille

2016-01-01

Numerous arguments in the recent neuroscientific literature support the use of musical training as a therapeutic tool among the arsenal already available to therapists and educators for treating children with dyslexia. In the present study, we tested the efficacy of a specially-designed Cognitivo-Musical Training (CMT) method based upon three principles: (1) music-language analogies: training dyslexics with music could contribute to improve brain circuits which are common to music and language processes; (2) the temporal and rhythmic features of music, which could exert a positive effect on the multiple dimensions of the “temporal deficit” characteristic of some types of dyslexia; and (3) cross-modal integration, based on converging evidence of impaired connectivity between brain regions in dyslexia and related disorders. Accordingly, we developed a series of musical exercises involving jointly and simultaneously sensory (visual, auditory, somatosensory) and motor systems, with special emphasis on rhythmic perception and production in addition to intensive training of various features of the musical auditory signal. Two separate studies were carried out, one in which dyslexic children received intensive musical exercises concentrated over 18 h during 3 consecutive days, and the other in which the 18 h of musical training were spread over 6 weeks. Both studies showed significant improvements in some untrained, linguistic and non-linguistic variables. The first one yielded significant improvement in categorical perception and auditory perception of temporal components of speech. The second study revealed additional improvements in auditory attention, phonological awareness (syllable fusion), reading abilities, and repetition of pseudo-words. Importantly, most improvements persisted after an untrained period of 6 weeks. These results provide new additional arguments for using music as part of systematic therapeutic and instructional practice for dyslexic children. PMID:26834689

The effects of music therapy incorporated with applied behavior analysis verbal behavior approach for children with autism spectrum disorders.

PubMed

Lim, Hayoung A; Draper, Ellary

2011-01-01

This study compared a common form of Applied Behavior Analysis Verbal Behavior (ABA VB) approach and music incorporated with ABA VB method as part of developmental speech-language training in the speech production of children with Autism Spectrum Disorders (ASD). This study explored how the perception of musical patterns incorporated in ABA VB operants impacted the production of speech in children with ASD. Participants were 22 children with ASD, age range 3 to 5 years, who were verbal or pre verbal with presence of immediate echolalia. They were randomly assigned a set of target words for each of the 3 training conditions: (a) music incorporated ABA VB, (b) speech (ABA VB) and (c) no-training. Results showed both music and speech trainings were effective for production of the four ABA verbal operants; however, the difference between music and speech training was not statistically different. Results also indicated that music incorporated ABA VB training was most effective in echoic production, and speech training was most effective in tact production. Music can be incorporated into the ABA VB training method, and musical stimuli can be used as successfully as ABA VB speech training to enhance the functional verbal production in children with ASD.

Vocal handicap index in popular and erudite professional singers.

PubMed

Loiola-Barreiro, Camila Miranda; Silva, Marta Assumpção de Andrada E

To compare the voice handicap index of popular and erudite professional singers according to gender, age, professional experience time, and presence or absence of self-reported vocal complaints. One hundred thirty-two professional singers, 74 popular and 58 erudite, who responded to a questionnaire with regards to identification, age, gender, professional experience time in singing, musical genres (for popular singers), vocal classification (for erudite singers), presence of self-reported vocal complaints, and the specific protocols for popular (Modern Singing Handicap Index - MSHI) and erudite (Classical Singing Handicap Index - CSHI) singing. Higher proportion of women and higher incidence of vocal complaints were observed in the popular singers compared with the erudite singers. Most of the popular singers belonged to the genre of Brazilian Popular Music. Regarding the classification of erudite singers, there was greater participation of sopranos and tenors. No statistical differences were observed with respect to age and professional experience time between the groups. Comparison of the MSHI and CSHI scores showed no statistically significant difference between these scores and genre or age in both groups of singers. Professional experience time was related to the total score and the subscales disability and impairment in the MSHI, only for popular singers with vocal complaints. There was no correlation between these variables and the CSHI for erudite singers. The impact of vocal difficulty/problem interferes differently in these two musical genres when related to vocal complaint and professional experience time. The MSHI and CSHI protocols proved to be important tools not only for the identification of problems, but also for the understanding of how these individuals relate their voices with this occupational activity.

Music, affect, method, data: reflections on the Carroll versus Kivy debate.

PubMed

Konecni, Vladimir J

2013-01-01

The comprehensive exchange between Noel Carroll and Peter Kivy, which took place in 2007, addressed key issues in the relationship between music and affect. More than in any prior philosophical debate on this topic, experimental psychologists' methods and data played a significant role. However, to a nontrivial extent, the findings-perhaps especially the dubious-were misconstrued or misused, usually without acknowledging the existence of contrary data-based opinion within the psychology of music itself. Therefore, one objective of the present article is to identify the specific problematic features and shed light on the broader context shared by the two disciplines. A complementary goal is to examine contributions to philosophers' transgressions by music psychologists' insufficiently conscientious reporting, frequent overgeneralizations, and unawareness of philosophers' critical arguments. Another objective is to examine the current status of key concepts-the relevant music, basic emotions, mood, expression, induction, movement and dance, and methods (including introspection and experimental procedures)-thus perhaps enabling the discussion of music and affect to proceed with fewer misunderstandings. Finally, the article moves beyond the initial debate and builds on a remarkable agreement of philosophical and psychological opinion on a key issue (the induction of non-basic emotions by absolute music) to reach a new conceptual ground.

Incorporating Music into the Economics Classroom: A Comparison of Two Teaching Methods

ERIC Educational Resources Information Center

Huey, Jane Aw Yang

2011-01-01

There is always something mysterious about music as it affects us so powerfully. This paper looks at the role of music in enhancing students' understanding of economic concepts, such as money and inflation. Music lyrics were used as a source for teaching some economic concepts to a group of Office Management (OM) students. A quiz was given to test…

"Global Voices in Song": New Methods of Multicultural Music Learning

ERIC Educational Resources Information Center

Shi, Min; Goetze, Mary; Fern, Jay

2006-01-01

"Global Voices in Song" is a CD-ROM series that provides singers or listeners in classrooms and choirs with the materials needed for effective oral transmission of choral music from sources outside the European art music tradition. It was developed by Dr. Mary Goetze, Professor of Music at Indiana University (IU) and Dr. Jay Fern from IU Academic…

Effects of Age, Experience, and Instruction on Elementary Music Teacher Movement Self-Efficacy: A Pilot Study

ERIC Educational Resources Information Center

Fisher, Ryan; Rose, Paige

2011-01-01

As one of the recognized media of the Orff-Schulwerk method of music instruction, movement is fundamental to music specialists' teaching. It can embody the mantra of "sound before sign," and provide the means by which students experience the kinesthetic learning that is so natural to their musical development. Because there are multiple…

What do monkeys' music choices mean?

PubMed

Lamont, Alexandra M

2005-08-01

McDermott and Hauser have recently shown that although monkeys show some types of preferences for sound, preferences for music are found only in humans. This suggests that music might be a relatively recent adaptation in human evolution. Here, I focus on the research methods used by McDermott and Hauser, and consider the findings in relation to infancy research and music psychology.

Effects of Music Therapy for Children and Adolescents with Psychopathology: A Meta-analysis

ERIC Educational Resources Information Center

Gold, Christian; Voracek, Martin; Wigram, Tony

2004-01-01

Background: The objectives of this review were to examine the overall efficacy of music therapy for children and adolescents with psychopathology, and to examine how the size of the effect of music therapy is influenced by the type of pathology, client's age, music therapy approach, and type of outcome. Method: Eleven studies were included for…

The complexity of classical music networks

NASA Astrophysics Data System (ADS)

Rolla, Vitor; Kestenberg, Juliano; Velho, Luiz

2018-02-01

Previous works suggest that musical networks often present the scale-free and the small-world properties. From a musician's perspective, the most important aspect missing in those studies was harmony. In addition to that, the previous works made use of outdated statistical methods. Traditionally, least-squares linear regression is utilised to fit a power law to a given data set. However, according to Clauset et al. such a traditional method can produce inaccurate estimates for the power law exponent. In this paper, we present an analysis of musical networks which considers the existence of chords (an essential element of harmony). Here we show that only 52.5% of music in our database presents the scale-free property, while 62.5% of those pieces present the small-world property. Previous works argue that music is highly scale-free; consequently, it sounds appealing and coherent. In contrast, our results show that not all pieces of music present the scale-free and the small-world properties. In summary, this research is focused on the relationship between musical notes (Do, Re, Mi, Fa, Sol, La, Si, and their sharps) and accompaniment in classical music compositions. More information about this research project is available at https://eden.dei.uc.pt/~vitorgr/MS.html.

Implementing music therapy on an adolescent inpatient unit: a mixed-methods evaluation of acceptability, experience of participation and perceived impact.

PubMed

Patterson, Sue; Duhig, Michael; Darbyshire, Chris; Counsel, Robin; Higgins, Niall; Williams, Ian

2015-10-01

We aimed to assess the feasibility of delivering a music therapy program on adolescent psychiatric wards. We undertook a mixed-methods evaluation of a pilot program. Various active and receptive techniques were employed in group music therapy sessions delivered as part of a structured clinical program. Data collected in interviews with participants and staff and feedback questionnaires were thematically and descriptively analysed and triangulated. Data from 62 questionnaires returned by 43 patients who took part in 16 music therapy sessions, and seven staff, evidenced strong support for music therapy. Patients typically reported experiencing sessions as relaxing, comforting, uplifting, and empowering; >90% would participate by choice and use music therapeutically in the future. Staff endorsed music therapy as valuable therapeutically, reporting that patients engaged enthusiastically and identified sessions as improving their own moods and ward milieu. Integration of music therapy in inpatient treatment of adolescents is feasible and acceptable, and is valued by staff and patients as a complement to 'talking therapies'. Participation is enjoyed and associated with outcomes including improvement in mood, expression of feelings and social engagement consistent with recovery. © The Royal Australian and New Zealand College of Psychiatrists 2015.

Know your data: understanding implicit usage versus explicit action in video content classification

NASA Astrophysics Data System (ADS)

Yew, Jude; Shamma, David A.

2011-02-01

In this paper, we present a method for video category classification using only social metadata from websites like YouTube. In place of content analysis, we utilize communicative and social contexts surrounding videos as a means to determine a categorical genre, e.g. Comedy, Music. We hypothesize that video clips belonging to different genre categories would have distinct signatures and patterns that are reflected in their collected metadata. In particular, we define and describe social metadata as usage or action to aid in classification. We trained a Naive Bayes classifier to predict categories from a sample of 1,740 YouTube videos representing the top five genre categories. Using just a small number of the available metadata features, we compare the classifications produced by our Naive Bayes classifier with those provided by the uploader of that particular video. Compared to random predictions with the YouTube data (21% accurate), our classifier attained a mediocre 33% accuracy in predicting video genres. However, we found that the accuracy of our classifier significantly improves by nominal factoring of the explicit data features. By factoring the ratings of the videos in the dataset, the classifier was able to accurately predict the genres of 75% of the videos. We argue that the patterns of social activity found in the metadata are not just meaningful in their own right, but are indicative of the meaning of the shared video content. The results presented by this project represents a first step in investigating the potential meaning and significance of social metadata and its relation to the media experience.

Music-Based Magnetic Resonance Fingerprinting to Improve Patient Comfort During MRI Exams

PubMed Central

Ma, Dan; Pierre, Eric Y.; Jiang, Yun; Schluchter, Mark D.; Setsompop, Kawin; Gulani, Vikas; Griswold, Mark A.

2015-01-01

Purpose The unpleasant acoustic noise is an important drawback of almost every magnetic resonance imaging scan. Instead of reducing the acoustic noise to improve patient comfort, a method is proposed to mitigate the noise problem by producing musical sounds directly from the switching magnetic fields while simultaneously quantifying multiple important tissue properties. Theory and Methods MP3 music files were converted to arbitrary encoding gradients, which were then used with varying flip angles and TRs in both 2D and 3D MRF exam. This new acquisition method named MRF-Music was used to quantify T1, T2 and proton density maps simultaneously while providing pleasing sounds to the patients. Results The MRF-Music scans were shown to significantly improve the patients' comfort during the MRI scans. The T1 and T2 values measured from phantom are in good agreement with those from the standard spin echo measurements. T1 and T2 values from the brain scan are also close to previously reported values. Conclusions MRF-Music sequence provides significant improvement of the patient's comfort as compared to the MRF scan and other fast imaging techniques such as EPI and TSE scans. It is also a fast and accurate quantitative method that quantifies multiple relaxation parameter simultaneously. PMID:26178439

Effect of Music Practice on Anxiety and Depression of Iranian Dental Students

PubMed Central

Lotfollahzadeh, Hana; Kermani-Ranjbar, Tahereh; Kharazifard, Mohammad Javad

2017-01-01

Objectives: The practice of dentistry has long been associated with high levels of occupational stress and anxiety and music has been shown as a method of reducing stress. Considering the reportedly high level of stress among dental students and its consequences and also considering the positive effect of music therapy, the aim of this study was to evaluate the relationship between music practice and level of stress in dental students. Materials and Methods: In this analytical, cross-sectional study, 88 students, including 44 with a history of music practice and 44 matched controls without music practice who met the defined inclusion criteria, participated. Upon obtaining written informed consent, all volunteers filled the Beck anxiety inventory (BAI) and Beck depression inventory (BDI) questionnaires. Data were analyzed using the Kolmogorov-Smirnov test, and multiple linear regression test with backward method was used to evaluate the effect of demographic factors on anxiety and depression scores. Results: The level of anxiety was higher in students who did not have music practice and this difference was significant (P<0.001). The same was observed for depression (P=0.027). Other factors including age, gender, and being far from family had no significant effect on depression and anxiety (P>0.05). But level of anxiety and depression was higher in students of universities with tuition fee compared to free public institutes (P<0.05). Conclusions: It may be concluded that music practice can reduce anxiety and depression of dental students. PMID:29167685

The MusIC method: a fast and quasi-optimal solution to the muscle forces estimation problem.

PubMed

Muller, A; Pontonnier, C; Dumont, G

2018-02-01

The present paper aims at presenting a fast and quasi-optimal method of muscle forces estimation: the MusIC method. It consists in interpolating a first estimation in a database generated offline thanks to a classical optimization problem, and then correcting it to respect the motion dynamics. Three different cost functions - two polynomial criteria and a min/max criterion - were tested on a planar musculoskeletal model. The MusIC method provides a computation frequency approximately 10 times higher compared to a classical optimization problem with a relative mean error of 4% on cost function evaluation.

Music-Based Cognitive Remediation Therapy for Patients with Traumatic Brain Injury

PubMed Central

Hegde, Shantala

2014-01-01

Traumatic brain injury (TBI) is one of the common causes of disability in physical, psychological, and social domains of functioning leading to poor quality of life. TBI leads to impairment in sensory, motor, language, and emotional processing, and also in cognitive functions such as attention, information processing, executive functions, and memory. Cognitive impairment plays a central role in functional recovery in TBI. Innovative methods such as music therapy to alleviate cognitive impairments have been investigated recently. The role of music in cognitive rehabilitation is evolving, based on newer findings emerging from the fields of neuromusicology and music cognition. Research findings from these fields have contributed significantly to our understanding of music perception and cognition, and its neural underpinnings. From a neuroscientific perspective, indulging in music is considered as one of the best cognitive exercises. With “plasticity” as its veritable nature, brain engages in producing music indulging an array of cognitive functions and the product, the music, in turn permits restoration and alters brain functions. With scientific findings as its basis, “neurologic music therapy” (NMT) has been developed as a systematic treatment method to improve sensorimotor, language, and cognitive domains of functioning via music. A preliminary study examining the effect of NMT in cognitive rehabilitation has reported promising results in improving executive functions along with improvement in emotional adjustment and decreasing depression and anxiety following TBI. The potential usage of music-based cognitive rehabilitation therapy in various clinical conditions including TBI is yet to be fully explored. There is a need for systematic research studies to bridge the gap between increasing theoretical understanding of usage of music in cognitive rehabilitation and application of the same in a heterogeneous condition such as TBI. PMID:24715887

Acute Auditory Stimulation with Different Styles of Music Influences Cardiac Autonomic Regulation in Men

PubMed Central

da Silva, Sheila Ap. F.; Guida, Heraldo L.; dos Santos Antonio, Ana Marcia; de Abreu, Luiz Carlos; Monteiro, Carlos B. M.; Ferreira, Celso; Ribeiro, Vivian F.; Barnabe, Viviani; Silva, Sidney B.; Fonseca, Fernando L. A.; Adami, Fernando; Petenusso, Marcio; Raimundo, Rodrigo D.; Valenti, Vitor E.

2014-01-01

Background: No clear evidence is available in the literature regarding the acute effect of different styles of music on cardiac autonomic control. Objectives: The present study aimed to evaluate the acute effects of classical baroque and heavy metal musical auditory stimulation on Heart Rate Variability (HRV) in healthy men. Patients and Methods: In this study, HRV was analyzed regarding time (SDNN, RMSSD, NN50, and pNN50) and frequency domain (LF, HF, and LF / HF) in 12 healthy men. HRV was recorded at seated rest for 10 minutes. Subsequently, the participants were exposed to classical baroque or heavy metal music for five minutes through an earphone at seated rest. After exposure to the first song, they remained at rest for five minutes and they were again exposed to classical baroque or heavy metal music. The music sequence was random for each individual. Standard statistical methods were used for calculation of means and standard deviations. Besides, ANOVA and Friedman test were used for parametric and non-parametric distributions, respectively. Results: While listening to heavy metal music, SDNN was reduced compared to the baseline (P = 0.023). In addition, the LF index (ms2 and nu) was reduced during exposure to both heavy metal and classical baroque musical auditory stimulation compared to the control condition (P = 0.010 and P = 0.048, respectively). However, the HF index (ms2) was reduced only during auditory stimulation with music heavy metal (P = 0.01). The LF/HF ratio on the other hand decreased during auditory stimulation with classical baroque music (P = 0.019). Conclusions: Acute auditory stimulation with the selected heavy metal musical auditory stimulation decreased the sympathetic and parasympathetic modulation on the heart, while exposure to a selected classical baroque music reduced sympathetic regulation on the heart. PMID:25177673

The role of participatory music making in supporting people with dementia in hospital environments.

PubMed

Daykin, Norma; Parry, Barbara; Ball, Kerry; Walters, David; Henry, Ann; Platten, Bronwyn; Hayden, Rachel

2017-01-01

Background Improving the quality of care for people with dementia in general hospitals is a key priority. Creative activities including music have been examined for their potential role in enhancing quality of life for people with dementia, although relatively few studies have evaluated their use in acute hospital settings. Methods A mixed methods study examined the effects of a ten week period of weekly music sessions on the wellbeing of patients with dementia and on the ward environment in an acute elderly care service in a UK hospital. Potential effects of the music project on the ward environment were examined by comparing descriptive quantitative ward level data for two equivalent time periods, one with music and one with no music. The impact of the activity on participants' wellbeing was assessed using observational data as well as semi-structured interviews and focus groups with patients, visitors, the musician and staff. Results Ward level data were available for 85 patients with a dementia diagnosis who had stayed on the wards during the study periods. Comparison between the two periods showed a number of differences between the music and the non-music time periods, including a reduction in prescription of antipsychotic drugs. However, many factors could have contributed to the differences in the ward environment. Observational data revealed nuanced responses to music and suggested that participants generally enjoyed the activity. The impacts of music making were mediated strongly by staff responses and hospital organisation. Conclusion Data from this limited pilot study suggest that music is a useful intervention for enhancing patient and staff experiences and improving care in acute dementia care environments. The suggestion that use of anti-psychotic drugs may be reduced when music is present warrants further research.

Epidemiology, Treatment Efficacy, and Anxiety Aspects of Music Students Affected by Playing-Related Pain: A Retrospective Evaluation with Follow-up.

PubMed

Ioannou, Christos I; Hafer, Julia; Lee, André; Altenmüller, Eckart

2018-03-01

Playing-related pain (PRP) is a common problem among music students. We retrospectively assessed epidemiological factors that contributed to the manifestation of PRP and evaluated the efficacy of treatment methods used by affected music students. The long-term course of PRP symptoms was also examined, along with current (today) levels of trait anxieties. Demographic and epidemiological data of 186 music students who visited the musicians' outpatient clinic over a 5-year period were retrieved. Of these students, 122 had been diagnosed with PRP and were invited to participate (response rate 61.5%) in a follow-up online survey to: a) estimate the long-term course of their PRP symptoms, b) assess the efficacy of treatment methods they used, and c) assess their current trait anxiety (general and performance-related) using two standardized psychodiagnostic questionnaires. Two-thirds of music students who sought medical care were affected by PRP, with most being affected during their first year of studies, and with 69% having acute rather than chronic pain. The sudden increase in practice time was the main triggering factor for PRP (but not for non-PRP-related problems). Concerning the course of PRP, almost all students recovered or improved significantly. Students reported that "active" treatment methods (e.g., physical activities) were more effective than "passive" methods (e.g., oral medications). Psychodiagnostic questionnaires indicated that about 40% of PRP-affected students currently had increased levels of trait anxieties (music and non-music related), possibly warranting further medical assistance. PRP in music students occurs mainly at the beginning of their studies and has a good prognosis, although recovery may be lengthy. It is necessary to provide students with early information about PRP and about the multidimensional treatment framework that allows for individualized care of PRP in affected music students.

The Effects of a Single Electronic Music Improvisation Session on the Pain of Adults with Sickle Cell Disease: A Mixed Methods Pilot Study.

PubMed

Rodgers-Melnick, Samuel N; Matthie, Nadine; Jenerette, Coretta; Griest Pell, Tara J; Lane, Deforia; Fu, Pingfu; Margevicius, Seunghee; Little, Jane A

2018-06-07

Adults with sickle cell disease (SCD) experience acute pain that is multidimensional. Despite recent improvements in treatment, pain management remains a significant challenge for these individuals. Music therapy interventions have the potential to address several dimensions of SCD pain, but they require systematic investigation. This study investigated feasibility and preliminary efficacy of a single-session electronic music improvisation with a music therapist to diminish pain intensity and improve pain relief and mood in adults with SCD. Using a three-group mixed methods intervention design, we randomized 60 adults with SCD to standard care plus one of three 20-minute study conditions: 1) electronic music improvisation with a music therapist (MT); 2) recorded music listening (ML); or 3) no intervention (control). Measures of pain intensity (VASPI), pain relief (VASPR), and mood (VASMOOD) were assessed before and after the study conditions, with a subset of MT and ML participants interviewed after measure completion. Compared to control, MT produced significant improvements in VASPI (odds ratio (OR) = 5.12, P = 0.035) and VASMOOD (OR = 11.60, P = 0.005). ML produced significant improvements in VASMOOD compared to control (OR = 5.76, P = 0.040). Qualitatively, there were two prominent themes directly related to music: 1) ML and MT offered many positive and few negative effects; and 2) music therapists provided comfort beyond the music. Preliminary findings were promising and support the need for additional studies evaluating improvisational music therapy interventions for acute pain management in adults with SCD.

A Case Study Exploring the Use of GarageBand[TM] and an Electronic Bulletin Board in Preservice Music Education

ERIC Educational Resources Information Center

Vratulis, Vetta; Morton, Charlene

2011-01-01

This qualitative research study is an exploration of the merit and shortcomings of using a combination of the music software GarageBand[TM] and an electronic bulletin board to facilitate musical and peer learning in a 3-month elementary music methods curriculum and instruction course. A pedagogical objective of this assignment was to increase the…

An Examination of the Effect of Local Community Advocacy Methods on Attitudes toward Music Education among K-12 Administrators, Faculty, and Staff

ERIC Educational Resources Information Center

Vermillion, Phillip DeWayne

2009-01-01

Since its inception, American music education has been viewed as seemingly less important than other academic disciplines. In times of financial crisis, it has undergone reductions and eliminations. Consequently, music education advocates have had to escalate their efforts to preserve and protect music programs. This study seeks to determine the…

"Leaders," "Followers" and Collective Group Support in Learning "Art Music" in an Amateur Composer-Oriented Bach Choir

ERIC Educational Resources Information Center

Einarsdottir, Sigrun Lilja

2014-01-01

The purpose of this paper is to demonstrate how amateur choral singers experience collective group support as a method of learning "art music" choral work. Findings are derived from a grounded-theory based, socio-musical case study of an amateur "art music" Bach Choir, in the process of rehearsing and performing the Mass in B…

Marketing Your College Music Program to Students.

ERIC Educational Resources Information Center

Kelly, Steven N.

1988-01-01

Suggests the use of time-proven marketing methods to attract high school students to college music programs and keep them interested in the music program. Explores facets of the college and the program that draw students, including reputation, location, costs, and program content. (LS)

A Novel Analysis of Performance Classification and Workload Prediction Using Electroencephalography (EEG) Frequency Data

DTIC Science & Technology

2015-03-26

Engineering and Management Air Force Institute of Technology Air University Air Education and Training Command In Partial Fulfillment of the...Human Universal Measurement and Assessment Network (HUMAN) Lab human performance experiment trials were used to train , validate and test the...calming music to ease the individual before the start of the study [8]. EEG data contains noise ranging from muscle twitches, blinking and other functions

The Duration of Self-Selected Music Needed to Reduce Preoperative Anxiety.

PubMed

McClurkin, Sylva L; Smith, Claudia D

2016-06-01

Preoperative anxiety affects patients both physically and psychologically. It may also influence the patient's perioperative experience and result in reduced patient satisfaction with care and potentially delayed recovery. Previous research indicates that patients who listen to music in the perioperative setting experience less anxiety than patients who do not listen to music. Research does not address the duration of music required to effectively reduce anxiety in this population. A randomized control trial was used. Two intervention groups (15-minute music and 30-minute music) and one control group (no music) were compared. Patients (n = 133) demonstrated less anxiety after listening to either 15 or 30 minutes of music (P < .0001). Patients (n = 47) who listened to 15 minutes of music demonstrated less anxiety than those who did not listen to music (P = .005), whereas patients (n = 41) who listened to 30 minutes of music demonstrated less anxiety than those who did not listen to music (P < .001). Listening to as little as 15 minutes of music preoperatively is an effective method to reduce anxiety in patients who are about to have surgery. Copyright © 2016 American Society of PeriAnesthesia Nurses. Published by Elsevier Inc. All rights reserved.

Theory of music and method of "Harmony" in J.Cepler's book "Harmony of Universe"

NASA Astrophysics Data System (ADS)

Smirnov, V. A.

In the Cepler's book "Harmony of Universe" edited in 1619 the theory of music as a science of that time is presented. Also the investigation of proportion corresponding to musical between orbital parameters of planets is presented. J.Cepler used comparison of musical proportion for investigation movement of celestial bodies. So that Cepler's third law was formulated as following: "Proportion between periods rotation of any two planets is one and a half of proportion average distans of this planets exactly". The Cepler's method of "Harmony" lead to explanation of existence anti-entropyc processes which are widely spreaded in nature. [Johannes Kepler. Weltharmonik. Munchen-Berlin 1939 ].

[The status of music therapy in inpatient child and adolescent psychiatry].

PubMed

Stegemann, Thomas; Mauch, Christine; Stein, Vera; Romer, Georg

2008-07-01

Although music therapy is very common in child and adolescent psychiatry, no data are available that describe the working conditions for music therapists or the situation with regard to coverage of the patient population. A cross-sectional questionnaire study in all German hospitals of child and adolescent psychiatry with inpatient treatment programmes (n = 134) collected data on the structure and content of the respective music therapy treatment offered. 63.4% of the hospitals provide music therapy as a method of inpatient psychotherapy (77.7% response rate). This article focuses on the duties, setting, and clientele in music therapy, the available equipment and instruments, and the formation and methodological spectrum of music therapists. In summary, we conclude that music therapists working in child and adolescent psychiatry are well trained and experienced. To strengthen the professional identity of music therapists and to evaluate the efficacy of music therapy further research is needed and professional representation and proofs of efficacy must be emphasized.

Positive Instruction in Music Studios: Introducing a New Model for Teaching Studio Music in Schools Based upon Positive Psychology.

PubMed

Patston, Tim; Waters, Lea

This practice paper explores the intersection of school studio-music pedagogy and positive psychology in order to enhance students' learning and engagement. The paper has a practitioner focus and puts forward a new model of studio teaching, the Positive Instruction in Music Studios (PIMS) model that guides teachers through four key positive psychology processes that can be used in a music lesson: positive priming, strengths spotting, positive pause, and process praise. The model provides a new, positively oriented approach to studio-music pedagogy that can be integrated into specific methods-based programs to enhance student learning and engagement.

Marketing School Music: It's Elementary.

ERIC Educational Resources Information Center

Anderson, Jill Kuespert

1992-01-01

Explores methods of promoting elementary school music programs. Suggests inviting visitors to the class as a means of increasing awareness of school music. Recommends sending press releases to school newsletters and local newspapers. Reminds teachers to make use of educational access channels on area cable television systems. (SG)

MIDI-Assisted Composing in Your Classroom.

ERIC Educational Resources Information Center

Reese, Sam

1995-01-01

Describes a junior high school course in musical composition using Musical Instrument Digital Interface (MIDI) technology. Discusses course objectives and three composition projects. Includes a list of definitions and asserts that MIDI technology offers students and teachers a powerful method to study how music works. (CFR)

Sparse array angle estimation using reduced-dimension ESPRIT-MUSIC in MIMO radar.

PubMed

Zhang, Chaozhu; Pang, Yucai

2013-01-01

Sparse linear arrays provide better performance than the filled linear arrays in terms of angle estimation and resolution with reduced size and low cost. However, they are subject to manifold ambiguity. In this paper, both the transmit array and receive array are sparse linear arrays in the bistatic MIMO radar. Firstly, we present an ESPRIT-MUSIC method in which ESPRIT algorithm is used to obtain ambiguous angle estimates. The disambiguation algorithm uses MUSIC-based procedure to identify the true direction cosine estimate from a set of ambiguous candidate estimates. The paired transmit angle and receive angle can be estimated and the manifold ambiguity can be solved. However, the proposed algorithm has high computational complexity due to the requirement of two-dimension search. Further, the Reduced-Dimension ESPRIT-MUSIC (RD-ESPRIT-MUSIC) is proposed to reduce the complexity of the algorithm. And the RD-ESPRIT-MUSIC only demands one-dimension search. Simulation results demonstrate the effectiveness of the method.

Musical feedback during exercise machine workout enhances mood

PubMed Central

Fritz, Thomas H.; Halfpaap, Johanna; Grahl, Sophia; Kirkland, Ambika; Villringer, Arno

2013-01-01

Music making has a number of beneficial effects for motor tasks compared to passive music listening. Given that recent research suggests that high energy musical activities elevate positive affect more strongly than low energy musical activities, we here investigated a recent method that combined music making with systematically increasing physiological arousal by exercise machine workout. We compared mood and anxiety after two exercise conditions on non-cyclical exercise machines, one with passive music listening and the other with musical feedback (where participants could make music with the exercise machines). The results showed that agency during exercise machine workout (an activity we previously labeled jymmin – a cross between jammin and gym) had an enhancing effect on mood compared to workout with passive music listening. Furthermore, the order in which the conditions were presented mediated the effect of musical agency for this subscale when participants first listened passively, the difference in mood between the two conditions was greater, suggesting that a stronger increase in hormone levels (e.g., endorphins) during the active condition may have caused the observed effect. Given an enhanced mood after training with musical feedback compared to passively listening to the same type of music during workout, the results suggest that exercise machine workout with musical feedback (jymmin) makes the act of exercise machine training more desirable. PMID:24368905

Effects of music on patient anxiety.

PubMed

Mok, Esther; Wong, Kwai-Yiu

2003-02-01

Undergoing surgery with local anesthesia is stressful because patients often are aware of their surroundings. This study investigated music as a method of reducing patients' anxiety during minor surgery with local anesthesia. For this study, researchers assessed the effectiveness of music as a relaxation modality by measuring patients' vital signs and self-reported anxiety before and after surgery. Study results indicate that patients who listened to their choice of music during surgery experienced significantly lower anxiety levels, heart rates, and blood pressure than patients who did not listen to music.

Pleasant music as a countermeasure against visually induced motion sickness.

PubMed

Keshavarz, Behrang; Hecht, Heiko

2014-05-01

Visually induced motion sickness (VIMS) is a well-known side-effect in virtual environments or simulators. However, effective behavioral countermeasures against VIMS are still sparse. In this study, we tested whether music can reduce the severity of VIMS. Ninety-three volunteers were immersed in an approximately 14-minute-long video taken during a bicycle ride. Participants were randomly assigned to one of four experimental groups, either including relaxing music, neutral music, stressful music, or no music. Sickness scores were collected using the Fast Motion Sickness Scale and the Simulator Sickness Questionnaire. Results showed an overall trend for relaxing music to reduce the severity of VIMS. When factoring in the subjective pleasantness of the music, a significant reduction of VIMS occurred only when the presented music was perceived as pleasant, regardless of the music type. In addition, we found a gender effect with women reporting more sickness than men. We assume that the presentation of pleasant music can be an effective, low-cost, and easy-to-administer method to reduce VIMS. Copyright © 2013 Elsevier Ltd and The Ergonomics Society. All rights reserved.

Music, Substance Use, and Aggression

PubMed Central

Chen, Meng-Jinn; Miller, Brenda A.; Grube, Joel W.; Waiters, Elizabeth D.

2016-01-01

Objective This study investigated whether young people’s substance use and aggressive behaviors are related to their listening to music containing messages of substance use and violence. Method Data were collected using self-administered questionnaires and from a sample of community college students aged 15-25 (N = 1056; 43% male). A structural equation modeling method was used to simultaneously assess the associations between listening to various genres of music, alcohol use, illicit drug use, and aggressive behaviors, taking into account respondents’ age, gender, race/ethnicity, and level of sensation seeking. Results Listening to rap music was significantly and positively associated with alcohol use, problematic alcohol use, illicit drug use, and aggressive behaviors when all other variables were controlled. Additionally, alcohol and illicit drug use were positively associated with listening to musical genres of techno and reggae. Control variables such as sensation seeking, age, gender and race/ethnicity were significantly related to substance use and aggressive behaviors. Conclusion The findings suggest that young people’s substance use and aggressive behaviors may be related to their frequent exposure to music containing references to substance use and violence. Conversely, music listening preference may reflect some personal predispositions or lifestyle preferences. Alternatively, substance use, aggression and music preference are independent constructs, but share common “third factors.” PMID:16608146

Time reversal acoustics for small targets using decomposition of the time reversal operator

NASA Astrophysics Data System (ADS)

Simko, Peter C.

The method of time reversal acoustics has been the focus of considerable interest over the last twenty years. Time reversal imaging methods have made consistent progress as effective methods for signal processing since the initial demonstration that physical time reversal methods can be used to form convergent wave fields on a localized target, even under conditions of severe multipathing. Computational time reversal methods rely on the properties of the so-called 'time reversal operator' in order to extract information about the target medium. Applications for which time reversal imaging have previously been explored include medical imaging, non-destructive evaluation, and mine detection. Emphasis in this paper will fall on two topics within the general field of computational time reversal imaging. First, we will examine previous work on developing a time reversal imaging algorithm based on the MUltiple SIgnal Classification (MUSIC) algorithm. MUSIC, though computationally very intensive, has demonstrated early promise in simulations using array-based methods applicable to true volumetric (three-dimensional) imaging. We will provide a simple algorithm through which the rank of the time reversal operator subspaces can be properly quantified so that the rank of the associated null subspace can be accurately estimated near the central pulse wavelength in broadband imaging. Second, we will focus on the scattering from small acoustically rigid two dimensional cylindrical targets of elliptical cross section. Analysis of the time reversal operator eigenmodes has been well-studied for symmetric response matrices associated with symmetric systems of scattering targets. We will expand these previous results to include more general scattering systems leading to asymmetric response matrices, for which the analytical complexity increases but the physical interpretation of the time reversal operator remains unchanged. For asymmetric responses, the qualitative properties of the time reversal operator eigenmodes remain consistent with those obtained from the more tightly constrained systems.

An Exploration of Interactions between Virtual Mentors and Preservice Teachers

ERIC Educational Resources Information Center

Reese, Jill

2017-01-01

This study describes interactions between preservice music teachers and experienced teachers during virtual mentoring sessions embedded in field experiences for an elementary general music methods course. Participants were preservice music teachers (mentees) and experienced teachers (mentors). Videos of six mentoring sessions were transcribed,…

Learning Music Literacies across Transnational School Settings

ERIC Educational Resources Information Center

Skerrett, Allison

2018-01-01

This article examines an adolescent's music literacy education across Caribbean and U.S. schools using qualitative research methods and theories of multimodality, transnationalism, and global cultural flows. Findings include that the youth's music literacy practices continuously shifted in response to the cultural practices and values of the…

Music Therapy with Bereaved Teenagers: A Mixed Methods Perspective

ERIC Educational Resources Information Center

McFerran, Katrina; Roberts, Melina; O'Grady, Lucy

2010-01-01

Qualitative investigations have indicated that music therapy groups may be beneficial for bereaved teenagers. The existing relationship between young people and music serves as a platform for connectedness and emotional expression that is utilised within a therapeutic, support group format. This investigation confirms this suggestion through…

An Examination of Secondary Wind Instrument Methods Courses

ERIC Educational Resources Information Center

Wagoner, Cynthia L.; Juchniewicz, Jay

2017-01-01

The purpose of this study was to investigate current secondary woodwind, brass, and combined wind instrument methods courses for preservice music teachers across the United States. Two-hundred eleven (N = 211) wind methods course instructors from National Association of Schools of Music-accredited institutions completed an online survey that…

The effects of music intervention in the management of chronic pain: a single-blind, randomized, controlled trial.

PubMed

Guétin, Stéphane; Giniès, Patrick; Siou, Didier Kong A; Picot, Marie-Christine; Pommié, Christelle; Guldner, Elisabeth; Gosp, Anne-Marie; Ostyn, Katelyne; Coudeyre, Emmanuel; Touchon, Jacques

2012-05-01

A music intervention method in the management of pain was recently developed while taking account of recommendations in the scientific literature. The objective of this study was to assess the usefulness of this music intervention to the management of patients with chronic pain. A controlled, single-blind, randomized trial was used. Eighty-seven patients presenting with lumbar pain, fibromyalgia, inflammatory disease, or neurological disease were included in the study. During their hospitalization, the intervention arm (n=44) received at least 2 daily sessions of music listening between D0 and D10, associated with their standard treatment, and then pursued the music intervention at home until D60 using a multimedia player in which the music listening software program had been installed. The control arm received standard treatment only (n=43). The end points measured at D0, D10, D60, and D90 were: pain (VAS), anxiety-depression (HAD) and the consumption of medication. At D60 in the music intervention arm, this technique enabled a more significant reduction (P<0.001) in pain (6.3 ± 1.7 at D0 vs. 3 ± 1.7 at D60) when compared with the arm without music intervention (6.2 ± 1.5 at D0 vs. 4.6 ± 1.7 at D60). In addition, music intervention contributed to significantly reducing both anxiety/depression and the consumption of anxiolytic agents. These results confirm the value of music intervention to the management of chronic pain and anxiety/depression. This music intervention method appears to be useful in managing chronic pain as it enables a significant reduction in the consumption of medication.

Expanding perspective on music therapy for symptom management in cancer care.

PubMed

Potvin, Noah; Bradt, Joke; Kesslick, Amy

2015-01-01

Symptom management is a frequently researched treatment topic in music therapy and cancer care. Representations in the literature of music interventions for symptom management, however, have often overlooked the human experiences shaping those symptoms. This may result in music therapy being perceived as a linear intervention process that does not take into account underlying experiences that contribute to symptom experiences. This study explored patient experiences underlying symptoms and symptom management in cancer care, and examined the role of music therapy in that clinical process. This study analyzed semi-structured, open-ended exit interviews obtained from 30 participants during a randomized controlled trial investigating the differential impact of music therapy versus music medicine interventions on symptom management in participants with cancer. Interviews were conducted by a research assistant not involved with the clinical interventions. Exit interview transcripts for 30 participants were analyzed using an inductive, latent, constructivist method of thematic analysis. Three themes-Relaxation, Therapeutic relationship, and Intrapersonal relating-capture elements of the music therapy process that (a) modified participants' experiences of adjustments in their symptoms and (b) highlighted the depth of human experience shaping their symptoms. These underlying human experiences naturally emerged in the therapeutic setting, requiring the music therapist's clinical expertise for appropriate support. Symptom management extends beyond fluctuation in levels and intensity of a surface-level symptom to incorporate deeper lived experiences. The authors provide recommendations for clinical work, entry-level training as related to symptom management, implications for evidence-based practice in music therapy, and methodology for future mixed methods research. © the American Music Therapy Association 2015. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Beethoven recordings reviewed: a systematic method for mapping the content of music performance criticism

PubMed Central

Alessandri, Elena; Williamson, Victoria J.; Eiholzer, Hubert; Williamon, Aaron

2015-01-01

Critical reviews offer rich data that can be used to investigate how musical experiences are conceptualized by expert listeners. However, these data also present significant challenges in terms of organization, analysis, and interpretation. This study presents a new systematic method for examining written responses to music, tested on a substantial corpus of music criticism. One hundred critical reviews of Beethoven’s piano sonata recordings, published in the Gramophone between August 1934 and July 2010, were selected using in-depth data reduction (qualitative/quantitative approach). The texts were then examined using thematic analysis in order to generate a visual descriptive model of expert critical review. This model reveals how the concept of evaluation permeates critical review. It also distinguishes between two types of descriptors. The first characterizes the performance in terms of specific actions or features of the musical sound (musical parameters, technique, and energy); the second appeals to higher-order properties (artistic style, character and emotion, musical structure, communicativeness) or assumed performer qualities (understanding, intentionality, spontaneity, sensibility, control, and care). The new model provides a methodological guide and conceptual basis for future studies of critical review in any genre. PMID:25741295

Beethoven recordings reviewed: a systematic method for mapping the content of music performance criticism.

PubMed

Alessandri, Elena; Williamson, Victoria J; Eiholzer, Hubert; Williamon, Aaron

2015-01-01

Critical reviews offer rich data that can be used to investigate how musical experiences are conceptualized by expert listeners. However, these data also present significant challenges in terms of organization, analysis, and interpretation. This study presents a new systematic method for examining written responses to music, tested on a substantial corpus of music criticism. One hundred critical reviews of Beethoven's piano sonata recordings, published in the Gramophone between August 1934 and July 2010, were selected using in-depth data reduction (qualitative/quantitative approach). The texts were then examined using thematic analysis in order to generate a visual descriptive model of expert critical review. This model reveals how the concept of evaluation permeates critical review. It also distinguishes between two types of descriptors. The first characterizes the performance in terms of specific actions or features of the musical sound (musical parameters, technique, and energy); the second appeals to higher-order properties (artistic style, character and emotion, musical structure, communicativeness) or assumed performer qualities (understanding, intentionality, spontaneity, sensibility, control, and care). The new model provides a methodological guide and conceptual basis for future studies of critical review in any genre.

Musical hallucinations: review of treatment effects

PubMed Central

Coebergh, Jan A. F.; Lauw, R. F.; Bots, R.; Sommer, I. E. C.; Blom, J. D.

2015-01-01

Background: Despite an increased scientific interest in musical hallucinations over the past 25 years, treatment protocols are still lacking. This may well be due to the fact that musical hallucinations have multiple causes, and that published cases are relatively rare. Objective: To review the effects of published treatment methods for musical hallucinations. Methods: A literature search yielded 175 articles discussing a total number of 516 cases, of which 147 articles discussed treatment in 276 individuals. We analyzed the treatment results in relation to the etiological factor considered responsible for the mediation of the musical hallucinations, i.e., idiopathic/hypoacusis, psychiatric disorder, brain lesion, and other pathology, epilepsy or intoxication/pharmacology. Results: Musical hallucinations can disappear without intervention. When hallucinations are bearable, patients can be reassured without any other treatment. However, in other patients musical hallucinations are so disturbing that treatment is indicated. Distinct etiological groups appear to respond differently to treatment. In the hypoacusis group, treating the hearing impairment can yield significant improvement and coping strategies (e.g., more acoustic stimulation) are frequently helpful. Pharmacological treatment methods can also be successful, with antidepressants being possibly more helpful than antiepileptics (which are still better than antipsychotics). The limited use of acetylcholinesterase inhibitors has looked promising. Musical hallucinations occurring as part of a psychiatric disorder tend to respond well to psychopharmacological treatments targeting the underlying disorder. Musical hallucinations experienced in the context of brain injuries and epilepsy tend to respond well to antiepileptics, but their natural course is often benign, irrespective of any pharmacological treatment. When intoxication/pharmacology is the main etiological factor, it is important to stop or switch the causative substance or medication. Conclusion: Treatments for musical hallucinations tend to yield favorable results when they target the main etiological factor of these phenomena. There is a need to establish the natural course of musical hallucinations, their response to non-pharmacological treatments, and their effects on the patient's quality of life. There is also a need to standardize the assessment of treatment responses, and document long-term follow up. PMID:26136708

Virtual Mentoring of Preservice Teachers

ERIC Educational Resources Information Center

Reese, Jill

2016-01-01

The purpose of the study was to describe music teachers' perceptions of the benefits and challenges they experienced as virtual mentors of preservice music teachers. Each mentor was assigned a cohort of preservice teachers who were enrolled in an elementary general music methods course. Cohorts observed their mentor's teaching via Skype. Mentors…

Mentoring for Mentors: The Music Mentor Plus Program

ERIC Educational Resources Information Center

Berg, Margaret H.; Rickels, David A.

2018-01-01

The Music Mentor Plus program was designed to introduce mentoring strategies teachers can implement during supervision of student teachers and early field experience interns, while also fostering connections between field-based modeling and university methods course content. Throughout the 2015-2016 school year, seven music teachers and two…

Emotional Readiness and Music Therapeutic Activities

ERIC Educational Resources Information Center

Drossinou-Korea, Maria; Fragkouli, Aspasia

2016-01-01

The purpose of this study is to understand the children's expression with verbal and nonverbal communication in the Autistic spectrum. We study the emotional readiness and the music therapeutic activities which exploit the elements of music. The method followed focused on the research field of special needs education. Assumptions on the parameters…

Ecological Development and Validation of a Music Performance Rating Scale for Five Instrument Families

ERIC Educational Resources Information Center

Wrigley, William J.; Emmerson, Stephen B.

2013-01-01

This study investigated ways to improve the quality of music performance evaluation in an effort to address the accountability imperative in tertiary music education. An enhanced scientific methodology was employed incorporating ecological validity and using recognized qualitative methods involving grounded theory and quantitative methods…

Korean Percussion Ensemble ("Samulnori") in the General Music Classroom

ERIC Educational Resources Information Center

Kang, Sangmi; Yoo, Hyesoo

2016-01-01

This article introduces "samulnori" (Korean percussion ensemble), its cultural background, and instructional methods as parts of a classroom approach to teaching upper-level general music. We introduce five of eight sections from "youngnam nong-ak" (a style of samulnori) as a repertoire for teaching Korean percussion music to…

Using Longitudinal Scales Assessment for Instrumental Music Students

ERIC Educational Resources Information Center

Simon, Samuel H.

2014-01-01

In music education, current assessment trends emphasize student reflection, tracking progress over time, and formative as well as summative measures. This view of assessment requires instrumental music educators to modernize their approaches without interfering with methods that have proven to be successful. To this end, the Longitudinal Scales…

Music, Movement, and Poetry.

ERIC Educational Resources Information Center

Carmichael, Karla D.

This paper's premise is that music, movement, and poetry are unique and creative methods to be used by the counselor in working with both children and adults. Through these media, the counselor generates material for the counseling session that may not be available through more traditional "talk therapies." The choice of music as a counseling…

Neural Correlates of Boredom in Music Perception

PubMed Central

Fakhr Tabatabaie, Ashkan; Azadehfar, Mohammad Reza; Mirian, Negin; Noroozian, Maryam; Yoonessi, Ahmad; Saebipour, Mohammad Reza; Yoonessi, Ali

2014-01-01

Introduction: Music can elicit powerful emotional responses, the neural correlates of which have not been properly understood. An important aspect about the quality of any musical piece is its ability to elicit a sense of excitement in the listeners. In this study, we investigated the neural correlates of boredom evoked by music in human subjects. Methods: We used EEG recording in nine subjects while they were listening to total number of 10 short-length (83 sec) musical pieces with various boredom indices. Subjects evaluated boringness of musical pieces while their EEG was recording. Results: Using short time Fourier analysis, we found that beta 2 rhythm was (16–20 Hz) significantly lower whenever the subjects rated the music as boring in comparison to non-boring. Discussion: The results demonstrate that the music modulates neural activity of various parts of the brain and can be measured using EEG. PMID:27284390

Compact binary hashing for music retrieval

NASA Astrophysics Data System (ADS)

Seo, Jin S.

2014-03-01

With the huge volume of music clips available for protection, browsing, and indexing, there is an increased attention to retrieve the information contents of the music archives. Music-similarity computation is an essential building block for browsing, retrieval, and indexing of digital music archives. In practice, as the number of songs available for searching and indexing is increased, so the storage cost in retrieval systems is becoming a serious problem. This paper deals with the storage problem by extending the supervector concept with the binary hashing. We utilize the similarity-preserving binary embedding in generating a hash code from the supervector of each music clip. Especially we compare the performance of the various binary hashing methods for music retrieval tasks on the widely-used genre dataset and the in-house singer dataset. Through the evaluation, we find an effective way of generating hash codes for music similarity estimation which improves the retrieval performance.

Predictors of change in music therapy with children and adolescents: the role of therapeutic techniques.

PubMed

Gold, Christian; Wigram, Tony; Voracek, Martin

2007-12-01

Music therapy has been shown to be efficacious in experimental studies. However, there is little empirical research knowledge about what elements of music therapy influence its effectiveness in clinical practice. Children and adolescents with psychopathology (N=75) were assessed before and after participating in individual music therapy with 1 out of 15 music therapists in the Vienna region. Relationships between outcomes (as evaluated by parents) and therapy contents (as reported by therapists) were examined using general linear modelling. Results indicated that clients' symptoms and burdens on their social environment showed greater improvement when music therapy was limited to discipline-specific music therapy techniques and did not include other media such as play therapy elements. The findings indicate the importance of being aware of a therapy method's specific strengths and limitations. More research on the indicated specific ingredients of music therapy intervention is needed.

Listening to music can influence hedonic and sensory perceptions of gelati.

PubMed

Kantono, Kevin; Hamid, Nazimah; Shepherd, Daniel; Yoo, Michelle J Y; Grazioli, Gianpaolo; Carr, B Thomas

2016-05-01

The dominant taste sensations of three different types of chocolate gelati (milk chocolate, dark chocolate, and bittersweet chocolate) were determined using forty five trained panellists exposed to a silent reference condition and three music samples differing in hedonic ratings. The temporal dominance of sensations (TDS) method was used to measure temporal taste perceptions. The emotional states of panellists were measured after each gelati-music pairing using a scale specifically developed for this study. The TDS difference curves showed significant differences between gelati samples and music conditions (p < 0.05). Sweetness was perceived more dominant when neutral and liked music were played, while bitterness was more dominant for disliked music. A joint Canonical Variate Analysis (CVA) further explained the variability in sensory and emotion data. The first and second dimensions explained 78% of the variance, with the first dimension separating liked and disliked music and the second dimension separating liked music and silence. Gelati samples consumed while listening to liked and neutral music had positive scores, and were separated from those consumed under the disliked music condition along the first dimension. Liked music and disliked music were further correlated with positive and negative emotions respectively. Findings indicate that listening to music influenced the hedonic and sensory impressions of the gelati. Copyright © 2016 Elsevier Ltd. All rights reserved.

A rehabilitation program based on music practice for patients with unilateral spatial neglect: a single-case study.

PubMed

Guilbert, Alma; Clément, Sylvain; Moroni, Christine

2017-02-01

Two major limitations of unilateral spatial neglect (USN) rehabilitation methods are actually reported: a lack of long-term efficiency and a lack of generalization to daily life. The aim of our case study was to underline how a multisensory method-music practice-could avoid these limitations. Mrs BV suffered from a chronic severe USN. She had rehabilitation sessions of music practice over 8 weeks. An improvement of her USN was found on paper-pencil tests but also in daily activities. Benefits subsisted 4 months after rehabilitation. Music practice seemed to avoid the major limitations of USN rehabilitations and could represent a promising tool.

The importance of music for people with dementia: the perspectives of people with dementia, family carers, staff and music therapists

PubMed Central

McDermot, Orii; Orrell, Martin; Ridder, Hanne Mette

2014-01-01

Objectives Despite the popularity of music-based interventions in dementia care, there is a limited knowledge of how and why people with dementia find music beneficial for their well-being. A qualitative study was conducted to develop further insights into the musical experiences of people with dementia and explore the meaning of music in their lives. Method Separate focus groups and interviews with (1) care home residents with dementia and their families, (2) day hospital clients with dementia, (3) care home staff, and (4) music therapists, were conducted. The findings of the thematic analysis were investigated further in the light of psychosocial factors with the aim of developing a theoretical model on music in dementia. Results Six key themes were identified. The accessibility of music for people at all stages of dementia, close links between music, personal identity and life events, the importance of relationship-building through music making were particularly highlighted as valuable. The psychosocial model of music in dementia was developed. The model revealed the importance of music to support the personal psychology of people with dementia and the social psychology of the care home environment. Conclusion The effects of music go beyond the reduction of behavioural and psychological symptoms. Individual preference of music is preserved throughout the process of dementia. Sustaining musical and interpersonal connectedness would help value who the person is and maintain the quality of their life. PMID:24410398

Ambiguity resolving based on cosine property of phase differences for 3D source localization with uniform circular array

NASA Astrophysics Data System (ADS)

Chen, Xin; Wang, Shuhong; Liu, Zhen; Wei, Xizhang

2017-07-01

Localization of a source whose half-wavelength is smaller than the array aperture would suffer from serious phase ambiguity problem, which also appears in recently proposed phase-based algorithms. In this paper, by using the centro-symmetry of fixed uniform circular array (UCA) with even number of sensors, the source's angles and range can be decoupled and a novel ambiguity resolving approach is addressed for phase-based algorithms of source's 3-D localization (azimuth angle, elevation angle, and range). In the proposed method, by using the cosine property of unambiguous phase differences, ambiguity searching and actual-value matching are first employed to obtain actual phase differences and corresponding source's angles. Then, the unambiguous angles are utilized to estimate the source's range based on a one dimension multiple signal classification (1-D MUSIC) estimator. Finally, simulation experiments investigate the influence of step size in search and SNR on performance of ambiguity resolution and demonstrate the satisfactory estimation performance of the proposed method.

Wideband Direction of Arrival Estimation in the Presence of Unknown Mutual Coupling

PubMed Central

Li, Weixing; Zhang, Yue; Lin, Jianzhi; Guo, Rui; Chen, Zengping

2017-01-01

This paper investigates a subarray based algorithm for direction of arrival (DOA) estimation of wideband uniform linear array (ULA), under the presence of frequency-dependent mutual coupling effects. Based on the Toeplitz structure of mutual coupling matrices, the whole array is divided into the middle subarray and the auxiliary subarray. Then two-sided correlation transformation is applied to the correlation matrix of the middle subarray instead of the whole array. In this way, the mutual coupling effects can be eliminated. Finally, the multiple signal classification (MUSIC) method is utilized to derive the DOAs. For the condition when the blind angles exist, we refine DOA estimation by using a simple approach based on the frequency-dependent mutual coupling matrixes (MCMs). The proposed method can achieve high estimation accuracy without any calibration sources. It has a low computational complexity because iterative processing is not required. Simulation results validate the effectiveness and feasibility of the proposed algorithm. PMID:28178177

Remote sensing of surface currents with single shipborne high-frequency surface wave radar

NASA Astrophysics Data System (ADS)

Wang, Zhongbao; Xie, Junhao; Ji, Zhenyuan; Quan, Taifan

2016-01-01

High-frequency surface wave radar (HFSWR) is a useful technology for remote sensing of surface currents. It usually requires two (or more) stations spaced apart to create a two-dimensional (2D) current vector field. However, this method can only obtain the measurements within the overlapping coverage, which wastes most of the data from only one radar observation. Furthermore, it increases observation's costs significantly. To reduce the number of required radars and increase the ocean area that can be measured, this paper proposes an economical methodology for remote sensing of the 2D surface current vector field using single shipborne HFSWR. The methodology contains two parts: (1) a real space-time multiple signal classification (MUSIC) based on sparse representation and unitary transformation techniques is developed for measuring the radial currents from the spreading first-order spectra, and (2) the stream function method is introduced to obtain the 2D surface current vector field. Some important conclusions are drawn, and simulations are included to validate the correctness of them.

Family involvement in music impacts participation of children with cochlear implants in music education and music activities.

PubMed

Driscoll, Virginia; Gfeller, Kate; Tan, Xueli; See, Rachel L; Cheng, Hsin-Yi; Kanemitsu, Mikiko

2015-05-01

Objective Children with cochlear implants (CIs) participate in musical activities in school and daily lives. Considerable variability exists regarding the amount of music involvement and enjoyment. Using the Music Engagement Questionnaire-Preschool/Elementary (MEQ-P/E), we wanted to determine patterns of musical participation and the impact of familial factors on engagement. Methods Parents of 32 children with CIs (16 preschool and 16 elementary) completed a questionnaire regarding the musical involvement of their child with an implant and a normal-hearing (NH) sibling (if one existed). We compared CI children's involvement to that of their NH siblings as well as across groups of children with and without CIs. Correlations between parent ratings of music importance, demographic factors, and involvement of CI and NH children were conducted within and across groups. Results No significant differences were found between children with CIs and NH siblings, meaning children from the same family showed similar levels of musical involvement. When compared at the same developmental stage, no significant differences were found between preschool children with and without CIs. Parents who rated the importance of music as 'low' or 'middle' had children (NH and CI) who were less involved in music activities. Children whose parents rated music importance as 'high' were involved in monthly to weekly music activities with 81.25% reporting daily music listening. Conclusion Despite a less-than-ideal auditory signal for music, preschool and school-aged CI children enjoy and are involved in musical experiences. Families who enjoy and spend a greater amount of time involved in music tend to have children who also engage more actively in music.

Family involvement in music impacts participation of children with cochlear implants in music education and music activities

PubMed Central

Driscoll, Virginia; Gfeller, Kate; Tan, Xueli; See, Rachel L.; Cheng, Hsin-Yi; Kanemitsu, Mikiko

2014-01-01

Objective Children with cochlear implants (CIs) participate in musical activities in school and daily lives. Considerable variability exists regarding the amount of music involvement and enjoyment. Using the Music Engagement Questionnaire-Preschool/Elementary (MEQ-P/E), we wanted to determine patterns of musical participation and the impact of familial factors on engagement. Methods Parents of 32 children with CIs (16 preschool, 16 elementary) completed a questionnaire regarding the musical involvement of their child with an implant and a normal-hearing (NH) sibling (if one existed). We compared CI children's involvement to that of their NH siblings as well as across groups of children with and without CIs. Correlations between parent ratings of music importance, demographic factors, and involvement of CI and NH children were conducted within and across groups. Results No significant differences were found between children with CIs and NH siblings, meaning children from the same family showed similar levels of musical involvement. When compared at the same developmental stage, no significant differences were found between preschool children with and without CIs. Parents who rated the importance of music as “low” or “middle” had children (NH and CI) who were less involved in music activities. Children whose parents rated music importance as “high” were involved in monthly to weekly music activities with 81.25% reporting daily music listening. Conclusion Despite a less-than-ideal auditory signal for music, preschool and school-aged CI children enjoy and are involved in musical experiences. Families who enjoy and spend a greater amount of time involved in music tend to have children who also engage more actively in music. PMID:25431978

A preliminary report of music-based training for adult cochlear implant users: rationales and development

PubMed Central

Gfeller, Kate; Guthe, Emily; Driscoll, Virginia; Brown, Carolyn J.

2015-01-01

Objective This paper provides a preliminary report of a music-based training program for adult cochlear implant (CI) recipients. Included in this report are descriptions of the rationale for music-based training, factors influencing program development, and the resulting program components. Methods Prior studies describing experience-based plasticity in response to music training, auditory training for persons with hearing impairment, and music training for cochlear implant recipients were reviewed. These sources revealed rationales for using music to enhance speech, factors associated with successful auditory training, relevant aspects of electric hearing and music perception, and extant evidence regarding limitations and advantages associated with parameters for music training with CI users. This information formed the development of a computer-based music training program designed specifically for adult CI users. Results Principles and parameters for perceptual training of music, such as stimulus choice, rehabilitation approach, and motivational concerns were developed in relation to the unique auditory characteristics of adults with electric hearing. An outline of the resulting program components and the outcome measures for evaluating program effectiveness are presented. Conclusions Music training can enhance the perceptual accuracy of music, but is also hypothesized to enhance several features of speech with similar processing requirements as music (e.g., pitch and timbre). However, additional evaluation of specific training parameters and the impact of music-based training on speech perception of CI users are required. PMID:26561884

[Music-based intervention in children].

PubMed

Kiese-Himmel, Christiane

2012-01-01

Music-based interventions with children are an effective method in health and sickness treatment and in education systems. The engagement with music enables positive transfer effects on extra-musical developmental domains. Music therapy was applied primarily as a practically-oriented scientific discipline both within the framework of a multi-modal therapy approach as one treatment component and focused specifically on children with emotional disorders within a somatic therapy concept and in rehabilitation. The following narrative overview will present music therapy's working basis, treatment goals, and select outcome research in children from 2005-2010. There currently exists a substantial lack, even within empirical research, in relation to the application of music therapy to children. This is an opportunity to initiate a broad range of study for the future. Current challenges and opportunities in scientific, music-based intervention in the paediatric population lie in the concretization of differential indications (both in intervention approach and duration), replicable comparative therapy (alternated treatment-design), the application of a music-therapeutic placebo requirement, as well as in the verification and analysis of specific music therapeutic mechanisms.

The effects of a rhythm and music-based therapy program and therapeutic riding in late recovery phase following stroke: a study protocol for a three-armed randomized controlled trial

PubMed Central

2012-01-01

Background Stroke represents one of the most costly and long-term disabling conditions in adulthood worldwide and there is a need to determine the effectiveness of rehabilitation programs in the late phase after stroke. Limited scientific support exists for training incorporating rhythm and music as well as therapeutic riding and well-designed trials to determine the effectiveness of these treatment modalities are warranted. Methods/Design A single blinded three-armed randomized controlled trial is described with the aim to evaluate whether it is possible to improve the overall health status and functioning of individuals in the late phase of stroke (1-5 years after stroke) through a rhythm and music-based therapy program or therapeutic riding. About 120 individuals will be consecutively and randomly allocated to one of three groups: (T1) rhythm and music-based therapy program; (T2) therapeutic riding; or (T3) control group receiving the T1 training program a year later. Evaluation is conducted prior to and after the 12-week long intervention as well as three and six months later. The evaluation comprises a comprehensive functional and cognitive assessment (both qualitative and quantitative), and questionnaires. Based on the International classification of functioning, disability, and health (ICF), the outcome measures are classified into six comprehensive domains, with participation as the primary outcome measure assessed by the Stroke Impact Scale (SIS, version 2.0.). The secondary outcome measures are grouped within the following domains: body function, activity, environmental factors and personal factors. Life satisfaction and health related quality of life constitute an additional domain. Current status A total of 84 participants were randomised and have completed the intervention. Recruitment proceeds and follow-up is on-going, trial results are expected in early 2014. Discussion This study will ascertain whether any of the two intervention programs can improve overall health status and functioning in the late phase of stroke. A positive outcome would increase the scientific basis for the use of such interventions in the late phase after stroke. Trial registration Clinical Trials.gov Identifier: NCT01372059 PMID:23171380

Application of musical timbre discrimination features to active sonar classification

NASA Astrophysics Data System (ADS)

Young, Victor W.; Hines, Paul C.; Pecknold, Sean

2005-04-01

In musical acoustics significant effort has been devoted to uncovering the physical basis of timbre perception. Most investigations into timbre rely on multidimensional scaling (MDS), in which different musical sounds are arranged as points in multidimensional space. The Euclidean distance between points corresponds to the perceptual distance between sounds and the multidimensional axes are linked to measurable properties of the sounds. MDS has identified numerous temporal and spectral features believed to be important to timbre perception. There is reason to believe that some of these features may have wider application in the disparate field of underwater acoustics, since anecdotal evidence suggests active sonar returns from metallic objects sound different than natural clutter returns when auralized by human operators. This is particularly encouraging since attempts to develop robust automatic classifiers capable of target-clutter discrimination over a wide range of operational conditions have met with limited success. Spectral features relevant to target-clutter discrimination are believed to include click-pitch and envelope irregularity; relevant temporal features are believed to include duration, sub-band attack/decay time, and time separation pitch. Preliminary results from an investigation into the role of these timbre features in target-clutter discrimination will be presented. [Work supported by NSERC and GDC.

Bilingual Education through Music.

ERIC Educational Resources Information Center

Soy, Rosa H.

The purpose of this project was to design a bilingual/bicultural kindergarten course of study based on the concepts of the Richards Education Through Music Method. This method is rooted in the Hungarian composer-educator Zoltan Kodaly's educational philosophy and was developed in the U.S. by Mary Helen Richards. This is a method of teaching all…

A Mixed Methods Portrait of Urban Instrumental Music Teaching

ERIC Educational Resources Information Center

Fitzpatrick, Kate R.

2011-01-01

The purpose of this mixed methods study was to learn about the ways that instrumental music teachers in Chicago navigated the urban landscape. The design of the study most closely resembles Creswell and Plano Clark's (2007) two-part Triangulation Convergence Mixed Methods Design, with the addition of an initial exploratory focus group component.…

Including Exceptional Students in Your Instrumental Music Program

ERIC Educational Resources Information Center

Mixon, Kevin

2005-01-01

This article describes the method and adaptations used by the author in including students with special needs in an instrumental music program. To ensure success in the program, the author shares the method he uses to include exceptional students and enumerates some possible adaptations. There are certainly other methods and modifications that…

Emotional power of music in patients with memory disorders: clinical implications of cognitive neuroscience.

PubMed

Samson, Séverine; Dellacherie, Delphine; Platel, Hervé

2009-07-01

By adapting methods of cognitive psychology to neuropsychology, we examined memory and familiarity abilities in music in relation to emotion. First we present data illustrating how the emotional content of stimuli influences memory for music. Second, we discuss recent findings obtained in patients with two different brain disorders (medically intractable epilepsy and Alzheimer's disease) that show relatively spared memory performance for music, despite severe verbal memory disorders. Studies on musical memory and its relation to emotion open up paths for new strategies in cognitive rehabilitation and reinstate the importance of examining interactions between cognitive and clinical neurosciences.

Time reversal and phase coherent music techniques for super-resolution ultrasound imaging

DOE Office of Scientific and Technical Information (OSTI.GOV)

Huang, Lianjie; Labyed, Yassin

Systems and methods for super-resolution ultrasound imaging using a windowed and generalized TR-MUSIC algorithm that divides the imaging region into overlapping sub-regions and applies the TR-MUSIC algorithm to the windowed backscattered ultrasound signals corresponding to each sub-region. The algorithm is also structured to account for the ultrasound attenuation in the medium and the finite-size effects of ultrasound transducer elements. A modified TR-MUSIC imaging algorithm is used to account for ultrasound scattering from both density and compressibility contrasts. The phase response of ultrasound transducer elements is accounted for in a PC-MUSIC system.

Effect of Music Therapy on Postoperative Pain Management in Gynecological Patients: A Literature Review.

PubMed

Sin, Wai Man; Chow, Ka Ming

2015-12-01

Unrelieved postoperative pain may have a negative impact on the physiological and psychological well-being of patients. Pharmacological methods are currently used to relieve such pain in gynecological patients; however, inadequate pain control is still reported, and the use of nonpharmacological pain-relieving methods is increasingly being advocated, one of which is music therapy. The purpose of this literature review was to identify, summarize, and critically appraise current evidence on music therapy and postoperative pain management among gynecological patients. A systematic search of MEDLINE, CINAHL, PsycINFO, British Nursing Index, and Allied and Complementary Medicine was conducted using the search terms music, gynecological, pain, surgery, operative, and post-operative to identify relevant articles in English from 1995 to the present. All identified articles were assessed independently for inclusion into review. A total of 7 articles were included after removal of duplicates and exclusion of irrelevant studies. All the included studies assessed the effects of music therapy on postoperative pain intensity, and three of them measured pain-related physiological symptoms. The findings indicated that music therapy, in general, was effective in reducing pain intensity, fatigue, anxiety, and analgesic consumption in gynecological patients during the postoperative period. It is recommended as an adjunct to pharmacological pain-relieving methods in reducing postoperative pain. Future researches on music therapy to identify the most effective application and evaluate its effect by qualitative study are recommended. Copyright © 2015 American Society for Pain Management Nursing. Published by Elsevier Inc. All rights reserved.

[Non pharmacological treatment for Alzheimer's disease: comparison between musical and non-musical interventions].

PubMed

Narme, Pauline; Tonini, Audrey; Khatir, Fatiha; Schiaratura, Loris; Clément, Sylvain; Samson, Séverine

2012-06-01

On account of the limited effectiveness of pharmacological treatments in Alzheimer's disease (AD), there is a growing interest on nonpharmacological treatments, including musical intervention. Despite the large number of studies showing the multiple benefits of music on behavioral, emotional and cognitive disorders of patients with AD, only a few of them used a rigorous method. Finally, the specificity of musical as compared to non-musical and pleasant interventions has rarely been addressed. To investigate this issue, two randomized controlled trials were conducted contrasting the effects of musical to painting (Study 1) or cooking (Study 2) interventions on emotional state of 33 patients with AD. The patients' emotional state was assessed by analyzing professional caregivers' judgments of the patient's mood, then facial expressions and valence of the discourse from short-filmed interviews. In the first study (n=22), each intervention lasted 3 weeks (two sessions per week) and the patients' emotional state was assessed before, during and after intervention periods. After the interventions, the results showed that facial expression, discourse content and mood assessment improved (more positive than negative expressions) as compared to pre-intervention assessment. However, musical intervention was more effective and had longer effects as compared with painting. In the second study (n=11), we further examined long lasting effects of music as compared to cooking by adding evaluation of the patients' emotional state 2 and 4 weeks after the last intervention. Again, music was more effective to improve the emotional state. Music had positive effects that remained significant up to 4 weeks after the intervention, while cooking only produced short-term effect on mood. In both studies, benefits were significant in more than 80% of patients. Taken together, these findings show that music intervention has specific effects on patients' emotional well being, offering promising methods to improve the quality of life of patients with AD.

Turn Off the Music! Music Impairs Visual Associative Memory Performance in Older Adults

PubMed Central

Reaves, Sarah; Graham, Brittany; Grahn, Jessica; Rabannifard, Parissa; Duarte, Audrey

2016-01-01

Purpose of the Study: Whether we are explicitly listening to it or not, music is prevalent in our environment. Surprisingly, little is known about the effect of environmental music on concurrent cognitive functioning and whether young and older adults are differentially affected by music. Here, we investigated the impact of background music on a concurrent paired associate learning task in healthy young and older adults. Design and Methods: Young and older adults listened to music or to silence while simultaneously studying face–name pairs. Participants’ memory for the pairs was then tested while listening to either the same or different music. Participants also made subjective ratings about how distracting they found each song to be. Results: Despite the fact that all participants rated music as more distracting to their performance than silence, only older adults’ associative memory performance was impaired by music. These results are most consistent with the theory that older adults’ failure to inhibit processing of distracting task-irrelevant information, in this case background music, contributes to their memory impairments. Implications: These data have important practical implications for older adults’ ability to perform cognitively demanding tasks even in what many consider to be an unobtrusive environment. PMID:26035876

Constituents of Music and Visual-Art Related Pleasure - A Critical Integrative Literature Review.

PubMed

Tiihonen, Marianne; Brattico, Elvira; Maksimainen, Johanna; Wikgren, Jan; Saarikallio, Suvi

2017-01-01

The present literature review investigated how pleasure induced by music and visual-art has been conceptually understood in empirical research over the past 20 years. After an initial selection of abstracts from seven databases (keywords: pleasure, reward, enjoyment, and hedonic), twenty music and eleven visual-art papers were systematically compared. The following questions were addressed: (1) What is the role of the keyword in the research question? (2) Is pleasure considered a result of variation in the perceiver's internal or external attributes? (3) What are the most commonly employed methods and main variables in empirical settings? Based on these questions, our critical integrative analysis aimed to identify which themes and processes emerged as key features for conceptualizing art-induced pleasure. The results demonstrated great variance in how pleasure has been approached: In the music studies pleasure was often a clear object of investigation, whereas in the visual-art studies the term was often embedded into the context of an aesthetic experience, or used otherwise in a descriptive, indirect sense. Music studies often targeted different emotions, their intensity or anhedonia. Biographical and background variables and personality traits of the perceiver were often measured. Next to behavioral methods, a common method was brain imaging which often targeted the reward circuitry of the brain in response to music. Visual-art pleasure was also frequently addressed using brain imaging methods, but the research focused on sensory cortices rather than the reward circuit alone. Compared with music research, visual-art research investigated more frequently pleasure in relation to conscious, cognitive processing, where the variations of stimulus features and the changing of viewing modes were regarded as explanatory factors of the derived experience. Despite valence being frequently applied in both domains, we conclude, that in empirical music research pleasure seems to be part of core affect and hedonic tone modulated by stable personality variables, whereas in visual-art research pleasure is a result of the so called conceptual act depending on a chosen strategy to approach art. We encourage an integration of music and visual-art into to a multi-modal framework to promote a more versatile understanding of pleasure in response to aesthetic artifacts.

Reverberation negatively impacts musical sound quality for cochlear implant users.

PubMed

Roy, Alexis T; Vigeant, Michelle; Munjal, Tina; Carver, Courtney; Jiradejvong, Patpong; Limb, Charles J

2015-09-01

Satisfactory musical sound quality remains a challenge for many cochlear implant (CI) users. In particular, questionnaires completed by CI users suggest that reverberation due to room acoustics can negatively impact their music listening experience. The objective of this study was to more specifically characterize of the effect of reverberation on musical sound quality in CI users, normal hearing (NH) non-musicians, and NH musicians using a previously designed assessment method, called Cochlear Implant-MUltiple Stimulus with Hidden Reference and Anchor (CI-MUSHRA). In this method, listeners were randomly presented with an anechoic musical segment and five-versions of this segment in which increasing amounts of reverberation were artificially added. Participants listened to the six reverberation versions and provided sound quality ratings between 0 (very poor) and 100 (excellent). Results demonstrated that on average CI users and NH non-musicians preferred the sound quality of anechoic versions to more reverberant versions. In comparison, NH musicians could be delineated into those who preferred the sound quality of anechoic pieces and those who preferred pieces with some reverberation. This is the first study, to our knowledge, to objectively compare the effects of reverberation on musical sound quality ratings in CI users. These results suggest that musical sound quality for CI users can be improved by non-reverberant listening conditions and musical stimuli in which reverberation is removed.

Benefits of listening to a recording of euphoric joint music making in polydrug abusers

PubMed Central

Fritz, Thomas Hans; Vogt, Marius; Lederer, Annette; Schneider, Lydia; Fomicheva, Eira; Schneider, Martha; Villringer, Arno

2015-01-01

Background and Aims: Listening to music can have powerful physiological and therapeutic effects. Some essential features of the mental mechanism underlying beneficial effects of music are probably strong physiological and emotional associations with music created during the act of music making. Here we tested this hypothesis in a clinical population of polydrug abusers in rehabilitation listening to a previously performed act of physiologically and emotionally intense music making. Methods: Psychological effects of listening to self-made music that was created in a previous musical feedback intervention were assessed. In this procedure, participants produced music with exercise machines (Jymmin) which modulate musical sounds. Results: The data showed a positive effect of listening to the recording of joint music making on self-efficacy, mood, and a readiness to engage socially. Furthermore, the data showed the powerful influence of context on how the recording evoked psychological benefits. The effects of listening to the self-made music were only observable when participants listened to their own performance first; listening to a control music piece first caused effects to deteriorate. We observed a positive correlation between participants’ mood and their desire to engage in social activities with their former training partners after listening to the self-made music. This shows that the observed effects of listening to the recording of the single musical feedback intervention are influenced by participants recapitulating intense pleasant social interactions during the Jymmin intervention. Conclusions: Listening to music that was the outcome of a previous musical feedback (Jymmin) intervention has beneficial psychological and probably social effects in patients that had suffered from polydrug addiction, increasing self-efficacy, mood, and a readiness to engage socially. These intervention effects, however, depend on the context in which the music recordings are presented. PMID:26124713

Tenure and Promotion Experiences of Music Teacher Educators: A Mixed-Methods Study

ERIC Educational Resources Information Center

Pellegrino, Kristen; Conway, Colleen M.; Millican, J. Si

2018-01-01

To examine music education faculty members' promotion and tenure experiences, we interviewed (N = 9) and surveyed (N = 124) music teacher educators (MTEs) who were pretenure or tenured within the past 3 years. Findings highlighted MTE's perceptions of evaluative criteria and standards, mentoring programs and experiences, professional identity, and…

Examining Preservice Music Teacher Concerns in Peer- and Field-Teaching Settings

ERIC Educational Resources Information Center

Powell, Sean R.

2014-01-01

The purpose of this study was to examine the concerns of preservice music teachers using the Fuller and Bown teacher concerns model. Participants were 12 senior-level instrumental music education majors enrolled at a medium-size American public university. A video-assisted, stimulated recall method was used to interview participants after two…

6 Things They May Not Have Taught You in College

ERIC Educational Resources Information Center

Branscome, Eric

2009-01-01

As a college music educator, it's the author's primary duty to prepare the next generation of music teachers for their careers. Considering the ever-increasing demands on music educators, the task may seem daunting. Therefore methods teachers cram their lessons to the brim with National Standards, child development, Kodaly, conducting, Orff,…

A Song to Remember: Emerging Adults Recall Memorable Music

ERIC Educational Resources Information Center

Lippman, Julia R.; Greenwood, Dara N.

2012-01-01

The present study employs a mixed methods approach to understanding the psychological functions and contexts of music use. Seventy-six emerging adults selected a single piece of music that they considered personally significant and elaborated on the reasons for this significance in response to written prompts. A constant comparative analysis of…

How does music arouse "chills"? Investigating strong emotions, combining psychological, physiological, and psychoacoustical methods.

PubMed

Grewe, Oliver; Nagel, Frederik; Kopiez, Reinhard; Altenmüller, Eckart

2005-12-01

Music can arouse ecstatic "chill" experiences defined as "goose pimples" and as "shivers down the spine." We recorded chills both via subjects' self-reports and physiological reactions, finding that they do not occur in a reflex-like manner, but as a result of attentive, experienced, and conscious musical enjoyment.

"Sounds Good to Me": Canadian Children's Perceptions of Popular Music

ERIC Educational Resources Information Center

Bosacki, Sandra; Francis-Murray, Nancy; Pollon, Dawn E.; Elliott, Anne

2006-01-01

This cross-sectional study explored the role of age and socioeconomic status (SES) in relation to children's popular musical preferences. As part of a larger, multi-method, longitudinal study on children's and adolescents self-views and media preference, the present study investigated the popular music section of a self-report questionnaire. Data…

Beginning a Journey with Music Education: Voices from Pre-Service Primary Teachers

ERIC Educational Resources Information Center

Kenny, Ailbhe

2017-01-01

This study examines pre-service primary teachers' first engagement with music education at university level in the Republic of Ireland. Data from focus group interviews and coursework present voices from the students in prolematising their learning journeys with music education. These qualitative research methods are used to investigate student…

The Relationship between the Burnout Levels of Music Teachers and Their Personalities

ERIC Educational Resources Information Center

Çevik Kiliç, Deniz Beste

2018-01-01

The aim of this study was to examine the relationship between the burnout levels of music teachers and their personalities. The research consisted of 278 music teachers who were selected from various places throughout Turkey via subjective, convenience sampling method. For data collection, the "Personal Information Form", "Adjective…

Lessons in Learning: Learning, Teaching and Motivation at a Music Summer School

ERIC Educational Resources Information Center

Pitts, Stephanie

2004-01-01

This paper reports on research carried out at the Contemporary Music-making for Amateurs (COMA) Summer School. A range of qualitative research methods were used to investigate participants' reasons for making music, and from these data a number of educational themes emerged: (i) general interactions between tutors and participants; (ii) evaluation…

Ancient music instrument in east java: study about continuity and change in the 10-15 century

NASA Astrophysics Data System (ADS)

Pamungkas, H.; Thomas, N. A.; Nasution

2018-01-01

This research is included in art history, especially music art in East Java. The oldest evidence of musical instruments in this area is evidenced through the Jalatunda site, Trawas. On one of the relief panels found apsara (nymphs) plays vina (stringed instrument). This site was from the 10th century. Since then the relief of musical instruments more and more carved. This is apparent in some temples in East Java after the 11th century. Not only in terms of the number of instruments, but the type of musical instruments is also displayed more diverse. The inflatable instrument (xylophone), the percussion instrument (membraphone), or idiophone show diversity over time. The development is an interesting phenomenon in the life of music art. Problems in this research, whether within the period of 5 centuries (10-15 AD century) there is a change in how to play instrument. This research uses ethnographic analogy method. In the archaeological discipline, this method is used to reconstruct past lives through activities that can be found in temple reliefs in East Java.

The effect of music on repetitive disruptive vocalizations of persons with dementia.

PubMed

Casby, J A; Holm, M B

1994-10-01

This study examined the effect of classical music and favorite music on the repetitive disruptive vocalizations of long-term-care facility (LTCF) residents with dementia of the Alzheimer's type (DAT). Three subjects diagnosed with DAT who had a history of repetitive disruptive vocalizations were selected for the study. Three single-subject withdrawal designs (ABA, ACA, and ABCA) were used to assess subjects' repetitive disruptive vocalizations during each phase: no intervention (A); relaxing, classical music (B); and favorite music (C). Classical music and favorite music significantly decreased the number of vocalizations in two of the three subjects (p < .05). These findings support a method that was effective in decreasing the disruptive vocalization pattern common in those with DAT in the least restrictive manner, as mandated by the Omnibus Budget Reconciliation Act of 1987.

Assessment of sound quality perception in cochlear implant users during music listening.

PubMed

Roy, Alexis T; Jiradejvong, Patpong; Carver, Courtney; Limb, Charles J

2012-04-01

Although cochlear implant (CI) users frequently report deterioration of sound quality when listening to music, few methods exist to quantify these subjective claims. 1) To design a novel research method for quantifying sound quality perception in CI users during music listening; 2) To validate this method by assessing one attribute of music perception, bass frequency perception, which is hypothesized to be relevant to overall musical sound quality perception. Limitations in bass frequency perception contribute to CI-mediated sound quality deteriorations. The proposed method will quantify this deterioration by measuring CI users' impaired ability to make sound quality discriminations among musical stimuli with variable amounts of bass frequency removal. A method commonly used in the audio industry (multiple stimulus with hidden reference and anchor [MUSHRA]) was adapted for CI users, referred to as CI-MUSHRA. CI users and normal hearing controls were presented with 7 sound quality versions of a musical segment: 5 high pass filter cutoff versions (200-, 400-, 600-, 800-, 1000-Hz) with decreasing amounts of bass information, an unaltered version ("hidden reference"), and a highly altered version (1,000-1,200 Hz band pass filter; "anchor"). Participants provided sound quality ratings between 0 (very poor) and 100 (excellent) for each version; ratings reflected differences in perceived sound quality among stimuli. CI users had greater difficulty making overall sound quality discriminations as a function of bass frequency loss than normal hearing controls, as demonstrated by a significantly weaker correlation between bass frequency content and sound quality ratings. In particular, CI users could not perceive sound quality difference among stimuli missing up to 400 Hz of bass frequency information. Bass frequency impairments contribute to sound quality deteriorations during music listening for CI users. CI-MUSHRA provided a systematic and quantitative assessment of this reduced sound quality. Although the effects of bass frequency removal were studied here, we advocate CI-MUSHRA as a user-friendly and versatile research tool to measure the effects of a wide range of acoustic manipulations on sound quality perception in CI users.

Treatment of anxiety from musical obsessions with a cognitive behaviour therapy tool

PubMed Central

Liikkanen, Lassi A; Raaska, Kari

2013-01-01

Musical obsessions and hallucinations are disturbing experiences of repeating internal music. Antipsychotic medication can sometimes reduce these symptoms but can also trigger or augment them. We report the case of a female patient with schizophrenia with drug-resistant obsessive musical hallucinations. The patient volunteered to participate in a 9-month pilot study to follow the development of the condition using an involuntary music and mood inventory. The patient perceived benefits from the intervention, including reduced anxiety, increased feeling of being in control and understanding the condition better. Findings from this case study suggest that cognitive therapy can be a useful complementary method of care for persons with musical obsessions. The presented tool requires further investigations among those with this rare condition. PMID:24214156

Effect of music on level of anxiety in patients undergoing colonoscopy without sedation.

PubMed

Ko, Chia-Hui; Chen, Yi-Yu; Wu, Kuan-Ta; Wang, Shu-Chi; Yang, Jeng-Fu; Lin, Yu-Yin; Lin, Chia-I; Kuo, Hsiang-Ju; Dai, Chia-Yen; Hsieh, Meng-Hsuan

2017-03-01

Listening to music can be a noninvasive method for reducing the anxiety level without any adverse effects. The aim of this study was to explore whether music can reduce anxiety and to compare two different styles of music, informal classical music and light music, to ascertain the more effective style of music in reducing anxiety in patients undergoing colonoscopy without sedation. This study enrolled 138 patients who underwent colonoscopy without sedation during a general health examination from February 2009 to January 2015. The patients were randomly assigned to a group that did not listen to music, a group that listened to music by David Tolley, or a group that listened to music by Kevin Kern. The State-Trait Anxiety Inventory was used to evaluate the status of anxiety. A trend test for mild anxiety was performed on the patients in the three groups, and a significant trend was noted (p=0.017 for all patients; p=0.014 for analysis by sex). Multivariate analysis for mild anxiety on the patients in each group was also performed in this study, and music by Kevin Kern was found to have the lowest odds ratio (Odds ratio=0.34, p=0.045). Listening to music, especially music by Kevin Kern, reduced the level of anxiety in patients undergoing colonoscopy examination without sedation. Copyright © 2016. Published by Elsevier Taiwan LLC.

Model Considerations for Memory-based Automatic Music Transcription

NASA Astrophysics Data System (ADS)

Albrecht, Štěpán; Šmídl, Václav

2009-12-01

The problem of automatic music description is considered. The recorded music is modeled as a superposition of known sounds from a library weighted by unknown weights. Similar observation models are commonly used in statistics and machine learning. Many methods for estimation of the weights are available. These methods differ in the assumptions imposed on the weights. In Bayesian paradigm, these assumptions are typically expressed in the form of prior probability density function (pdf) on the weights. In this paper, commonly used assumptions about music signal are summarized and complemented by a new assumption. These assumptions are translated into pdfs and combined into a single prior density using combination of pdfs. Validity of the model is tested in simulation using synthetic data.

The perception of musical spontaneity in improvised and imitated jazz performances.

PubMed

Engel, Annerose; Keller, Peter E

2011-01-01

The ability to evaluate spontaneity in human behavior is called upon in the esthetic appreciation of dramatic arts and music. The current study addresses the behavioral and brain mechanisms that mediate the perception of spontaneity in music performance. In a functional magnetic resonance imaging experiment, 22 jazz musicians listened to piano melodies and judged whether they were improvised or imitated. Judgment accuracy (mean 55%; range 44-65%), which was low but above chance, was positively correlated with musical experience and empathy. Analysis of listeners' hemodynamic responses revealed that amygdala activation was stronger for improvisations than imitations. This activation correlated with the variability of performance timing and intensity (loudness) in the melodies, suggesting that the amygdala is involved in the detection of behavioral uncertainty. An analysis based on the subjective classification of melodies according to listeners' judgments revealed that a network including the pre-supplementary motor area, frontal operculum, and anterior insula was most strongly activated for melodies judged to be improvised. This may reflect the increased engagement of an action simulation network when melodic predictions are rendered challenging due to perceived instability in the performer's actions. Taken together, our results suggest that, while certain brain regions in skilled individuals may be generally sensitive to objective cues to spontaneity in human behavior, the ability to evaluate spontaneity accurately depends upon whether an individual's action-related experience and perspective taking skills enable faithful internal simulation of the given behavior.

The Perception of Musical Spontaneity in Improvised and Imitated Jazz Performances

PubMed Central

Engel, Annerose; Keller, Peter E.

2011-01-01

The ability to evaluate spontaneity in human behavior is called upon in the esthetic appreciation of dramatic arts and music. The current study addresses the behavioral and brain mechanisms that mediate the perception of spontaneity in music performance. In a functional magnetic resonance imaging experiment, 22 jazz musicians listened to piano melodies and judged whether they were improvised or imitated. Judgment accuracy (mean 55%; range 44–65%), which was low but above chance, was positively correlated with musical experience and empathy. Analysis of listeners’ hemodynamic responses revealed that amygdala activation was stronger for improvisations than imitations. This activation correlated with the variability of performance timing and intensity (loudness) in the melodies, suggesting that the amygdala is involved in the detection of behavioral uncertainty. An analysis based on the subjective classification of melodies according to listeners’ judgments revealed that a network including the pre-supplementary motor area, frontal operculum, and anterior insula was most strongly activated for melodies judged to be improvised. This may reflect the increased engagement of an action simulation network when melodic predictions are rendered challenging due to perceived instability in the performer's actions. Taken together, our results suggest that, while certain brain regions in skilled individuals may be generally sensitive to objective cues to spontaneity in human behavior, the ability to evaluate spontaneity accurately depends upon whether an individual's action-related experience and perspective taking skills enable faithful internal simulation of the given behavior. PMID:21738518

[Status of music therapy in inpatient pediatrics and child and adolescent psychiatry].

PubMed

Evers, S

1998-04-01

In order to study the present situation of music therapy in hospitals of pediatrics and of child and adolescent psychiatry in the FRG, a postal survey at these hospitals was performed. The personnel situation, methods of music therapy and indications for music therapy were examined. The data are analysed according to the kind and the size of hospital; they are compared to results obtained in a survey at out-patient pediatrics and to a similar survey from the year 1990.

Translations on Eastern Europe, Scientific Affairs, Number 531

DTIC Science & Technology

1976-12-20

half now music therapy has been one of the meth- ods of treatment that we employ in the newly opened psychotherapy room of our hospital. The choice...of music from the preclassics was made by spe- cialists. In the course of music therapy we select a group of six pa- tients suffering from neuroses...decision was made to introduce music therapy as a mass method of treatment in hospitals. But for the present this decision remains in the minutes of

The speed of our mental soundtracks: Tracking the tempo of involuntary musical imagery in everyday life.

PubMed

Jakubowski, Kelly; Farrugia, Nicolas; Halpern, Andrea R; Sankarpandi, Sathish K; Stewart, Lauren

2015-11-01

The study of spontaneous and everyday cognitions is an area of rapidly growing interest. One of the most ubiquitous forms of spontaneous cognition is involuntary musical imagery (INMI), the involuntarily retrieved and repetitive mental replay of music. The present study introduced a novel method for capturing temporal features of INMI within a naturalistic setting. This method allowed for the investigation of two questions of interest to INMI researchers in a more objective way than previously possible, concerning (1) the precision of memory representations within INMI and (2) the interactions between INMI and concurrent affective state. Over the course of 4 days, INMI tempo was measured by asking participants to tap to the beat of their INMI with a wrist-worn accelerometer. Participants documented additional details regarding their INMI in a diary. Overall, the tempo of music within INMI was recalled from long-term memory in a highly veridical form, although with a regression to the mean for recalled tempo that parallels previous findings on voluntary musical imagery. A significant positive relationship was found between INMI tempo and subjective arousal, suggesting that INMI interacts with concurrent mood in a similar manner to perceived music. The results suggest several parallels between INMI and voluntary imagery, music perceptual processes, and other types of involuntary memories.

Finding the Kool Mixx: how Brown & Williamson used music marketing to sell cigarettes

PubMed Central

Hafez, Navid; Ling, Pamela M

2006-01-01

Objective To describe the history of Kool's music‐themed promotions and analyse the role that music played in the promotion of the brand. Methods Analysis of previously secret tobacco industry documents, legal documents, and promotional materials. Results Brown & Williamson started Kool sponsorship of musical events in 1975 with Kool Jazz concerts. Music was considered to be an effective marketing tool because: (1) music helped consumers make emotional connections with the brand; (2) music concerts were effective for targeted marketing; (3) music tied together an integrated marketing campaign; and (4) music had potential to appeal widely to a young audience. Brown & Williamson's first music campaigns successfully targeted young African‐American male audiences. Subsequent campaigns were less effective, exploring different types of music to achieve a broader young adult appeal. Conclusions This case study suggests Brown & Williamson used music most successfully for targeted marketing, but they failed to develop a wider audience using music because their attempts lacked consistency with the Kool brand's established identity. The 2004 “Kool Mixx” campaign both returned to Brown & Williamson's historic practice targeting young African‐American males, and also exploited a musical genre with much more potential to bring Kool more universal appeal, as hip‐hop music is increasingly popular among diverse audiences. Tobacco control efforts led by African‐American community activists to oppose these marketing strategies should continue; expanding these coalitions to include the hip‐hop community may further increase their effectiveness. PMID:16998169

Symbolic Analysis of Heart Rate Variability During Exposure to Musical Auditory Stimulation.

PubMed

Vanderlei, Franciele Marques; de Abreu, Luiz Carlos; Garner, David Matthew; Valenti, Vitor Engrácia

2016-01-01

In recent years, the application of nonlinear methods for analysis of heart rate variability (HRV) has increased. However, studies on the influence of music on cardiac autonomic modulation in those circumstances are rare. The research team aimed to evaluate the acute effects on HRV of selected auditory stimulation by 2 musical styles, measuring the results using nonlinear methods of analysis: Shannon entropy, symbolic analysis, and correlation-dimension analysis. Prospective control study in which the volunteers were exposed to music and variables were compared between control (no auditory stimulation) and during exposure to music. All procedures were performed in a sound-proofed room at the Faculty of Science and Technology at São Paulo State University (UNESP), São Paulo, Brazil. Participants were 22 healthy female students, aged between 18 and 30 y. Prior to the actual intervention, the participants remained at rest for 20 min, and then they were exposed to one of the selected types of music, either classical baroque (64-84 dB) or heavy-metal (75-84 dB). Each musical session lasted a total of 5 min and 15 s. At a point occurring up to 1 wk after that day, the participants listened to the second type of music. The 2 types of music were delivered in a random sequence that depended on the group to which the participant was assigned. The study analyzed the following HRV indices through Shannon entropy; symbolic analysis-0V%, 1V%, 2LV%, and 2ULV%; and correlation-dimension analysis. During exposure to auditory stimulation by heavy-metal or classical baroque music, the study established no statistically significant variations regarding the indices for the Shannon entropy; the symbolic analysis-0V%, 1V%, and 2ULV%; and the correlation-dimension analysis. However, during heavy-metal music, the 2LV% index in the symbolic analysis was reduced compared with the controls. Auditory stimulation with the heavy-metal music reduced the parasympathetic modulation of HRV, whereas no significant changes occurred in cardiac autonomic modulation during exposure to the classical music.

Cultural Continuity in an Educational Institution: A Case Study of the Suzuki Method of Music Instruction.

ERIC Educational Resources Information Center

Taniuchi, Lois

As the Suzuki method of music instruction has spread from Japan to other countries, its methods have been modified to adapt to the culture of those countries. In this paper the Japanese cultural background, and the principles and methods developed in Japan are discussed and compared with the adaptations made in the United States. The Suzuki method…

Directive and Non-Directive Movement in Child Therapy.

ERIC Educational Resources Information Center

Krason, Katarzyna; Szafraniec, Grazyna

1999-01-01

Presents a new authorship method of child therapy based on visualization through motion. Maintains that this method stimulates motor development and musical receptiveness, and promotes personality development. Suggests that improvised movement to music facilitates the projection mechanism and that directed movement starts the channeling phase.…

Proposal of an Algorithm to Synthesize Music Suitable for Dance

NASA Astrophysics Data System (ADS)

Morioka, Hirofumi; Nakatani, Mie; Nishida, Shogo

This paper proposes an algorithm for synthesizing music suitable for emotions in moving pictures. Our goal is to support multi-media content creation; web page design, animation films and so on. Here we adopt a human dance as a moving picture to examine the availability of our method. Because we think the dance image has high affinity with music. This algorithm is composed of three modules. The first is the module for computing emotions from an input dance image, the second is for computing emotions from music in the database and the last is for selecting music suitable for input dance via an interface of emotion.

Extreme Metal Music and Anger Processing

PubMed Central

Sharman, Leah; Dingle, Genevieve A.

2015-01-01

The claim that listening to extreme music causes anger, and expressions of anger such as aggression and delinquency have yet to be substantiated using controlled experimental methods. In this study, 39 extreme music listeners aged 18–34 years were subjected to an anger induction, followed by random assignment to 10 min of listening to extreme music from their own playlist, or 10 min silence (control). Measures of emotion included heart rate and subjective ratings on the Positive and Negative Affect Scale (PANAS). Results showed that ratings of PANAS hostility, irritability, and stress increased during the anger induction, and decreased after the music or silence. Heart rate increased during the anger induction and was sustained (not increased) in the music condition, and decreased in the silence condition. PANAS active and inspired ratings increased during music listening, an effect that was not seen in controls. The findings indicate that extreme music did not make angry participants angrier; rather, it appeared to match their physiological arousal and result in an increase in positive emotions. Listening to extreme music may represent a healthy way of processing anger for these listeners. PMID:26052277

Nonhuman Primates Prefer Slow Tempos but Dislike Music Overall

ERIC Educational Resources Information Center

McDermott, Josh; Hauser, Marc D.

2007-01-01

Human adults generally find fast tempos more arousing than slow tempos, with tempo frequently manipulated in music to alter tension and emotion. We used a previously published method [McDermott, J., & Hauser, M. (2004). Are consonant intervals music to their ears? Spontaneous acoustic preferences in a nonhuman primate. Cognition, 94(2), B11-B21]…

Learning Patterns in Music Practice: Links between Disposition, Practice Strategies and Outcomes

ERIC Educational Resources Information Center

StGeorge, Jennifer Mary; Holbrook, Allyson Patricia; Cantwell, Robert H.

2012-01-01

Research into musical practice has over recent decades focused on the technical and organisational strategies employed by novices and experts. What has been less studied are the background factors or influences on the quality of this music practice. Drawing on interview data collected from 66 children and adults from a mixed methods project, we…

The Provision of Classroom Music Programs to Regional Victorian Primary Schools

ERIC Educational Resources Information Center

Heinrich, Jennifer

2012-01-01

Anecdotal evidence suggests that many schools in rural areas, do not operate classroom music programs due to a shortage of qualified staff and with access to tertiary music education rapidly diminishing in regional Victoria, there is little indication that the situation will improve. This paper reports on a mixed methods research project that…

Motivating Factors for Teaching and Studying Music at Two-Year Colleges: A Survey of Faculty and Students

ERIC Educational Resources Information Center

Stewart, John R.; Williams, Yolanda Y.; Vu, Kinh T.; Collins, Tracey R.; Clementson, Casey J.; Berberick, David M.

2015-01-01

The purpose of this study was to explore what motivates faculty and student involvement in this educational environment and how student participation in music coursework contributes to current musical endeavors. The research team utilized a modified explanatory sequential mixed methods design to collect survey data and focus group data from…

Benefits of Music Training in Mandarin-Speaking Pediatric Cochlear Implant Users

ERIC Educational Resources Information Center

Fu, Qian-Jie; Galvin, John J., III; Wang, Xiaosong; Wu, Jiunn-Liang

2015-01-01

Purpose: The aims of this study were to assess young (5- to 10-year-old) Mandarin-speaking cochlear implant (CI) users' musical pitch perception and to assess the benefits of computer-based home training on performance. Method: Melodic contour identification (MCI) was used to assess musical pitch perception in 14 Mandarin-speaking pediatric CI…

The Influence of Video Reflection on Preservice Music Teachers' Concerns in Peer- and Field-Teaching Settings

ERIC Educational Resources Information Center

Powell, Sean R.

2016-01-01

The purpose of this study was to investigate preservice music teacher concerns as stated in written reflections before and after video feedback. Nineteen preservice music teachers enrolled in instrumental methods courses wrote free-response reflections of peer- and field-teaching episodes. Statements were coded utilizing the Fuller and Bown…

Music Performance Anxiety in Instrumental Music Students: A Multiple Case Study of Teacher Perspectives

ERIC Educational Resources Information Center

Sieger, Crystal

2017-01-01

Music Performance Anxiety (MPA) is a sometimes debilitating condition affecting many young musicians as they perform in testing or concert settings. These students may consult their teachers to seek aid in overcoming their anxiety. The purpose of this multiple case study was to investigate the strategies and methods utilized by middle and high…

Preschool Teachers' Skills in Teaching Music: Two Steps Forward One Step Back

ERIC Educational Resources Information Center

Ehrlin, Anna; Wallerstedt, Cecilia

2014-01-01

This study investigates through observations and interviews what importance further education has for preschool teachers' practice in two music-profiled preschool and their way of conceptualising it. A distinction between music as a method for teaching, on the one hand, and as a content of knowledge, on the other, is used in the analysis. The…

Lifespan Engagement and the Question of Relevance: Challenges for Music Education Research in the Twenty-First Century

ERIC Educational Resources Information Center

Myers, David

2008-01-01

The scope of music education research has expanded significantly over the last 50 years. Nevertheless, many studies remain atomistic, with limited contexts for questions, methods, findings and implications. Such approaches may seek to validate instructional strategies within an established music education system, rather than developing a continuum…

Communities of Practice: The Effects of Interactions among In-Service Music Teachers in a Graduate Program on Their Development as Educators

ERIC Educational Resources Information Center

Shin, Ji Hae

2013-01-01

The purpose of this study was to examine interactions among in-service music teachers in a graduate music teacher education program and their influence on professional growth. To collect data for this research, five different collection methods were used, including participant observation, surveying, artifact collection, nonparticipant…

A Grounded Theory of Preservice Music Educators' Lesson Planning Processes within Field Experience Methods Courses

ERIC Educational Resources Information Center

Parker, Elizabeth Cassidy; Bond, Vanessa L.; Powell, Sean R.

2017-01-01

The purpose of this grounded theory study was to understand the process of field experience lesson planning for preservice music educators enrolled in choral, general, and instrumental music education courses within three university contexts. Data sources included multiple interviews, written responses, and field texts from 42 participants. Four…

Addressing the NASM health and safety standard through curricular changes in a brass methods course: an outcome study.

PubMed

Laursen, Amy; Chesky, Kris

2014-09-01

The National Association of Schools of Music (NASM) recently ratified a new health and safety standard requiring schools of music to inform students about health concerns related to music. While organizations such as the Performing Arts Medicine Association have developed advisories, the exact implementation is the prerogative of the institution. One possible approach is to embed health education activities into existing methods courses that are routinely offered to music education majors. This may influence student awareness, knowledge, and the perception of competency and responsibility for addressing health risks associated with learning and performing musical instruments. Unfortunately, there are no known lesson plans or curriculum guides for supporting such activities. Therefore, the purpose of this study is to (1) develop course objectives and content that can be applied to a preexisting brass methods course, (2) implement course objectives into a semester-long brass methods course, and (3) test the effectiveness of this intervention on students' awareness, knowledge, perception of competency, and responsibly of health risks that are related to learning and performing brass instruments. Results showcase the potential for modifying methods courses without compromising the other objectives of the course. Additionally, students' awareness, knowledge, perception of competency, and responsibility were positively influenced as measured by changes in pre to post responses to survey group questions.

Attitudes and Perceptions of Patients, Caregivers, and Health Care Providers toward Background Music in Patient Care Areas: An Exploratory Study

PubMed Central

Perez-Cruz, Pedro; Nguyen, Linh; Rhondali, Wadih; Hui, David; Palmer, J. Lynn; Sevy, Ingrid; Richardson, Michael

2012-01-01

Abstract Background Background music can be used to distract from ordinary sounds and improve wellbeing in patient care areas. Little is known about individuals' attitudes and beliefs about music versus ordinary sound in this setting. Objectives To assess the preferences of patients, caregivers and healthcare providers regarding background music or ordinary sound in outpatient and inpatient care areas, and to explore their attitudes and perceptions towards music in general. Methods All participants were exposed to background music in outpatient or inpatient clinical settings. 99 consecutive patients, 101 caregivers and 65 out of 70 eligible healthcare providers (93%) completed a survey about music attitudes and preferences. The primary outcome was a preference for background music over ordinary sound in patient care areas. Results Preference for background music was high and similar across groups (70 patients (71%), 71 caregivers (71%) and 46 providers (71%), p=0.58). The three groups had very low disapproval for background music in patient care areas (10%, 9% and 12%, respectively; p=0.91). Black ethnicity independently predicted lower preference for background music (OR: 0.47, 95%CI: 0.23, 0.98). Patients, caregivers and providers reported recent use of music for themselves for the purpose of enjoyment (69%, 80% and 86% respectively p=0.02). Age, gender, religion and education level significantly predicted preferences for specific music styles. Conclusion Background music in patient care areas was preferred to ordinary sound by patients, caregivers and providers. Demographics of the population are strong determinants of music style preferences. PMID:22957677

Biological bases of human musicality.

PubMed

Perrone-Capano, Carla; Volpicelli, Floriana; di Porzio, Umberto

2017-04-01

Music is a universal language, present in all human societies. It pervades the lives of most human beings and can recall memories and feelings of the past, can exert positive effects on our mood, can be strongly evocative and ignite intense emotions, and can establish or strengthen social bonds. In this review, we summarize the research and recent progress on the origins and neural substrates of human musicality as well as the changes in brain plasticity elicited by listening or performing music. Indeed, music improves performance in a number of cognitive tasks and may have beneficial effects on diseased brains. The emerging picture begins to unravel how and why particular brain circuits are affected by music. Numerous studies show that music affects emotions and mood, as it is strongly associated with the brain's reward system. We can therefore assume that an in-depth study of the relationship between music and the brain may help to shed light on how the mind works and how the emotions arise and may improve the methods of music-based rehabilitation for people with neurological disorders. However, many facets of the mind-music connection still remain to be explored and enlightened.

Multi-Scale Scattering Transform in Music Similarity Measuring

NASA Astrophysics Data System (ADS)

Wang, Ruobai

Scattering transform is a Mel-frequency spectrum based, time-deformation stable method, which can be used in evaluating music similarity. Compared with Dynamic time warping, it has better performance in detecting similar audio signals under local time-frequency deformation. Multi-scale scattering means to combine scattering transforms of different window lengths. This paper argues that, multi-scale scattering transform is a good alternative of dynamic time warping in music similarity measuring. We tested the performance of multi-scale scattering transform against other popular methods, with data designed to represent different conditions.

Basic, specific, mechanistic? Conceptualizing musical emotions in the brain.

PubMed

Omigie, Diana

2016-06-01

The number of studies investigating music processing in the human brain continues to increase, with a large proportion of them focussing on the correlates of so-called musical emotions. The current Review highlights the recent development whereby such studies are no longer concerned only with basic emotions such as happiness and sadness but also with so-called music-specific or "aesthetic" ones such as nostalgia and wonder. It also highlights how mechanisms such as expectancy and empathy, which are seen as inducing musical emotions, are enjoying ever-increasing investigation and substantiation with physiological and neuroimaging methods. It is proposed that a combination of these approaches, namely, investigation of the precise mechanisms through which so-called music-specific or aesthetic emotions may arise, will provide the most important advances for our understanding of the unique nature of musical experience. © 2015 Wiley Periodicals, Inc.

Moderating influence of dominant attentional style and exercise intensity on responses to asynchronous music.

PubMed

Hutchinson, Jasmin C; Karageorghis, Costas I

2013-12-01

We examined independent and combined influences of asynchronous music and dominant attentional style (DAS) on psychological and psychophysical variables during exercise using mixed methods. Participants (N = 34) were grouped according to DAS and completed treadmill runs at three intensities (low, moderate, high) crossed with three music conditions (motivational, oudeterous, no-music control). State attentional focus shifted from dissociative to associative with increasing intensity and was most aligned with DAS during moderate-intensity exercise. Both music conditions facilitated dissociation at low-to-moderate intensities. At high exercise intensity, both music conditions were associated with reduced RPE among participants with an associative DAS. Dissociators reported higher RPE overall during moderate and high intensities. Psychological responses were most positive in the motivational condition, followed by oudeterous and control. Findings illustrate the relevance of individual differences in DAS as well as task intensity and duration when selecting music for exercise.

Sensitivity to musical structure in the human brain

PubMed Central

McDermott, Josh H.; Norman-Haignere, Sam; Kanwisher, Nancy

2012-01-01

Evidence from brain-damaged patients suggests that regions in the temporal lobes, distinct from those engaged in lower-level auditory analysis, process the pitch and rhythmic structure in music. In contrast, neuroimaging studies targeting the representation of music structure have primarily implicated regions in the inferior frontal cortices. Combining individual-subject fMRI analyses with a scrambling method that manipulated musical structure, we provide evidence of brain regions sensitive to musical structure bilaterally in the temporal lobes, thus reconciling the neuroimaging and patient findings. We further show that these regions are sensitive to the scrambling of both pitch and rhythmic structure but are insensitive to high-level linguistic structure. Our results suggest the existence of brain regions with representations of musical structure that are distinct from high-level linguistic representations and lower-level acoustic representations. These regions provide targets for future research investigating possible neural specialization for music or its associated mental processes. PMID:23019005

Language and music phrase boundary processing in Autism Spectrum Disorder: An ERP study.

PubMed

DePriest, John; Glushko, Anastasia; Steinhauer, Karsten; Koelsch, Stefan

2017-10-31

Autism spectrum disorder (ASD) is frequently associated with communicative impairment, regardless of intelligence level or mental age. Impairment of prosodic processing in particular is a common feature of ASD. Despite extensive overlap in neural resources involved in prosody and music processing, music perception seems to be spared in this population. The present study is the first to investigate prosodic phrasing in ASD in both language and music, combining event-related brain potential (ERP) and behavioral methods. We tested phrase boundary processing in language and music in neuro-typical adults and high-functioning individuals with ASD. We targeted an ERP response associated with phrase boundary processing in both language and music - i.e., the Closure Positive Shift (CPS). While a language-CPS was observed in the neuro-typical group, for ASD participants a smaller response failed to reach statistical significance. In music, we found a boundary-onset music-CPS for both groups during pauses between musical phrases. Our results support the view of preserved processing of musical cues in ASD individuals, with a corresponding prosodic impairment. This suggests that, despite the existence of a domain-general processing mechanism (the CPS), key differences in the integration of features of language and music may lead to the prosodic impairment in ASD.

Music Therapy Using Singing Training Improves Psychomotor Speed in Patients with Alzheimer's Disease: A Neuropsychological and fMRI Study

PubMed Central

Satoh, Masayuki; Yuba, Toru; Tabei, Ken-ichi; Okubo, Yukari; Kida, Hirotaka; Sakuma, Hajime; Tomimoto, Hidekazu

2015-01-01

Background/Aims To investigate the effect of singing training on the cognitive function in Alzheimer's disease (AD) patients. Methods Ten AD patients (mean age 78.1 years) participated in music therapy using singing training once a week for 6 months (music therapy group). Each session was performed with professional musicians using karaoke and a unique voice training method (the YUBA Method). Before and after the intervention period, each patient was assessed by neuropsychological batteries, and functional magnetic resonance imaging (fMRI) was performed while the patients sang familiar songs with a karaoke device. As the control group, another 10 AD patients were recruited (mean age 77.0 years), and neuropsychological assessments were performed twice with an interval of 6 months. Results In the music therapy group, the time for completion of the Japanese Raven's Colored Progressive Matrices was significantly reduced (p = 0.026), and the results obtained from interviewing the patients' caregivers revealed a significant decrease in the Neuropsychiatric Inventory score (p = 0.042) and a prolongation of the patients' sleep time (p = 0.039). The fMRI study revealed increased activity in the right angular gyrus and the left lingual gyrus in the before-minus-after subtraction analysis of the music therapy intervention. Conclusion Music therapy intervention using singing training may be useful for dementia patients by improving the neural efficacy of cognitive processing. PMID:26483829

[Music and health--what kind of music is helpful for whom? What music not?].

PubMed

Trappe, H-J

2009-12-01

It is well known that music not only may improve quality of life (QoL) but also have different effects on heart rate (HR) and its variability (HRV). Music emphasis and rhythmic phrases are tracked consistently by physiological variables. Autonomic responses are synchronized with music, which might therefore convey emotions through autonomic arousal during crescendos or rhythmic phrases. A greater modulation of HR, HRV and modulations in cardiac autonomic nerve activity was revealed with a greater effect for music performance than music perception. Reactions to music are considered subjective, but studies suggested that cardiorespiratory variables are influenced under different circumstances. It has been shown that relaxing music decreases significantly the level of anxiety in a preoperative setting to a greater extent than orally administered midazolam (p < 0,001). Higher effectiveness and absence of apparent adverse effects make preoperative relaxing music a useful alternative to midazolam for premedication. In addition, there is sufficient practical evidence of stress reduction to suggest that a proposed regimen of listening to music while resting in bed after open heart surgery. Music intervention should be offered as an integral part of the multimodal regime administered to the patients that have undergone cardiovascular surgery. It is a supportive source that increases relaxation. Music is also effective in under conditions and music can be utilized as an effective intervention for patients with depressive symptoms, geriatrics and in pain, intensive care or palliative medicine. However, careful selected music that incorporates a patient's own preferences may offer an effective method to reduce anxiety and to improve quality of life. The most benefit on health is visible in classic music, meditation music whereas heavy metal music or technosounds are even ineffective or dangerous and will lead to stress and/or life threatening arrhythmias. There are many composers most effectively to improve QoL, particularly Bach, Mozart and Italian composers are "ideal". Georg Thieme Verlag KG Stuttgart, New York.

Sugar in the Gourd: Preserving Appalachian Traditions.

ERIC Educational Resources Information Center

Brown, Tom

1983-01-01

The Appalachian Folk Music Project developed methods to teach folk music in the schools. Authentic material was identified and teaching methods appropriate to rural Appalachia were selected. Departures from the norm included teaching of instruments like the dulcimer, harmonica, and fiddle and the use of folk models whenever possible. (CS)

Music Software in the Technology Integrated Music Education

ERIC Educational Resources Information Center

Nart, Sevan

2016-01-01

The role of the teacher has changed as the traditional education methods, techniques and applications have left its place to the student-centered methods, techniques and applications along with the 21st century. Teachers are no more "source and share the information" but they do "guide" students to access information and…

Theoretical rationale for music selection in oncology intervention research: an integrative review.

PubMed

Burns, Debra S

2012-01-01

Music-based interventions have helped patients with cancer improve their quality of life, decrease treatment related distress, and manage pain. However, quantitative findings from music intervention studies are inconsistent. The purpose of this review was to explore the theoretical underpinnings for the selection of the music stimuli used to influence targeted outcomes. It was hypothesized that disparate findings were due in part to the atheoretical nature of music selection and the resulting diversity in music stimuli between and within studies. A systematic research synthesis including a comprehensive database and reference list search resulted in 22 studies. Included studies were compiled into two tables cataloging intervention theory, intervention content, and outcomes. A majority of studies did not provide a rationale or intervention theory for the delivery of music or choice of outcomes. Recorded music was the most common delivery method, but the specific music was rarely included within the report. Only two studies that included a theoretical framework reported null results on at least some of the outcomes. Null results are partially explained by an incomplete or mismatch in intervention theory and music selection and delivery. While the inclusion of an intervention theory does not guarantee positive results, including a theoretical rationale for the use of music, particular therapeutic processes or mechanisms, and the specifics of how music is selected and delivered increases scientific rigor and the probability of clinical translation.

Music Appreciation after Cochlear Implantation in Adult Patients: A Systematic Review.

PubMed

Riley, Phoebe E; Ruhl, Douglas S; Camacho, Macario; Tolisano, Anthony M

2018-06-01

Objective The cochlear implant (CI) improves quality of life for people who are severely and profoundly deafened, allowing implantees to perceive speech at levels similar to those of individuals with normal hearing. However, patients with CIs generally report a reduced appreciation of music after implantation. We aimed to systematically review the English-language literature for studies evaluating music enjoyment and perception among adult patients with CIs. Data Sources A systematic review of PubMed/MEDLINE, Scopus, Embase, and the Cochrane Library. Review Methods The PRISMA statement was utilized to identify English-language studies reporting music appreciation among adults with CIs. Two independent reviewers performed searches through May 2017. Included studies investigated parameters related to music enjoyment and music perception, including (1) pitch and timbre perception, (2) noise-canceling algorithms, and (3) the presence of dissonant chords, lyrics, or visual cues. Results A total of 508 articles were screened for relevance. Forty-one full-text articles were evaluated, and 18 met final inclusion criteria. Studies used heterogeneous methods of outcome measurement for identifying music appreciation. The outcome measures suggest that rhythm and lyrics are important components of enjoyment. Patients with CIs had difficulty with pitch and timbre perception. Conclusion The heterogeneous outcome measures identified in this systematic review suggest that rhythm and lyrics are important components of enjoyment, while patients with CIs had difficulty with pitch and timbre perception. Because there is no standardized reporting metric for music appreciation among adult patients with CIs, a standardized validated outcome-measuring tool is warranted.

Effect of Music Practice on Anxiety and Depression of Iranian Dental Students.

PubMed

Ghasemi, Mahmood; Lotfollahzadeh, Hana; Kermani-Ranjbar, Tahereh; Kharazifard, Mohammad Javad

2017-05-01

The practice of dentistry has long been associated with high levels of occupational stress and anxiety and music has been shown as a method of reducing stress. Considering the reportedly high level of stress among dental students and its consequences and also considering the positive effect of music therapy, the aim of this study was to evaluate the relationship between music practice and level of stress in dental students. In this analytical, cross-sectional study, 88 students, including 44 with a history of music practice and 44 matched controls without music practice who met the defined inclusion criteria, participated. Upon obtaining written informed consent, all volunteers filled the Beck anxiety inventory (BAI) and Beck depression inventory (BDI) questionnaires. Data were analyzed using the Kolmogorov-Smirnov test, and multiple linear regression test with backward method was used to evaluate the effect of demographic factors on anxiety and depression scores. The level of anxiety was higher in students who did not have music practice and this difference was significant (P<0.001). The same was observed for depression (P=0.027). Other factors including age, gender, and being far from family had no significant effect on depression and anxiety (P>0.05). But level of anxiety and depression was higher in students of universities with tuition fee compared to free public institutes (P<0.05). It may be concluded that music practice can reduce anxiety and depression of dental students.

Young children pause on phrase boundaries in self-paced music listening: The role of harmonic cues.

PubMed

Kragness, Haley E; Trainor, Laurel J

2018-05-01

Proper segmentation of auditory streams is essential for understanding music. Many cues, including meter, melodic contour, and harmony, influence adults' perception of musical phrase boundaries. To date, no studies have examined young children's musical grouping in a production task. We used a musical self-pacing method to investigate (1) whether dwell times index young children's musical phrase grouping and, if so, (2) whether children dwell longer on phrase boundaries defined by harmonic cues specifically. In Experiment 1, we asked 3-year-old children to self-pace through chord progressions from Bach chorales (sequences in which metrical, harmonic, and melodic contour grouping cues aligned) by pressing a computer key to present each chord in the sequence. Participants dwelled longer on chords in the 8th position, which corresponded to phrase endings. In Experiment 2, we tested 3-, 4-, and 7-year-old children's sensitivity to harmonic cues to phrase grouping when metrical regularity cues and melodic contour cues were misaligned with the harmonic phrase boundaries. In this case, 7 and 4 year olds but not 3 year olds dwelled longer on harmonic phrase boundaries, suggesting that the influence of harmonic cues on phrase boundary perception develops substantially between 3 and 4 years of age in Western children. Overall, we show that the musical dwell time method is child-friendly and can be used to investigate various aspects of young children's musical understanding, including phrase grouping and harmonic knowledge. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

A change management perspective on the introduction of music therapy to interprofessional teams.

PubMed

Ledger, Alison; Edwards, Jane; Morley, Michael

2013-01-01

The purpose of this paper is to demonstrate how a change management perspective contributes new understandings about music therapy implementation processes. Narrative inquiry, ethnography, and arts-based research methods were used to explore the experiences of 12 music therapists who developed new services in healthcare settings. These experiences were interpreted using insights from the field of change management. A change management perspective helps to explain music therapists' experiences of resistance and struggle when introducing their services to established health care teams. Organisational change theories and models highlight possible strategies for implementing music therapy services successfully, such as organisational assessment, communication and collaboration with other workers, and the appointment of a service development steering group. This paper offers exciting possibilities for developing understanding of music therapists' experiences and for supporting the growth of this burgeoning profession. There is an important need for professional supervision for music therapists in the service development phase, to support them in coping with resistance and setbacks. Healthcare managers and workers are encouraged to consider ways in which they can support the development of a new music therapy service, such as observing music therapy work and sharing organisational priorities and cultures with a new music therapist. Previous accounts of music therapy service development have indicated that music therapists encounter complex interprofessional issues when they join an established health care team. A change management perspective offers a new lens through which music therapists' experiences can be further understood.

Early auditory processing in musicians and dancers during a contemporary dance piece

PubMed Central

Poikonen, Hanna; Toiviainen, Petri; Tervaniemi, Mari

2016-01-01

The neural responses to simple tones and short sound sequences have been studied extensively. However, in reality the sounds surrounding us are spectrally and temporally complex, dynamic and overlapping. Thus, research using natural sounds is crucial in understanding the operation of the brain in its natural environment. Music is an excellent example of natural stimulation which, in addition to sensory responses, elicits vast cognitive and emotional processes in the brain. Here we show that the preattentive P50 response evoked by rapid increases in timbral brightness during continuous music is enhanced in dancers when compared to musicians and laymen. In dance, fast changes in brightness are often emphasized with a significant change in movement. In addition, the auditory N100 and P200 responses are suppressed and sped up in dancers, musicians and laymen when music is accompanied with a dance choreography. These results were obtained with a novel event-related potential (ERP) method for natural music. They suggest that we can begin studying the brain with long pieces of natural music using the ERP method of electroencephalography (EEG) as has already been done with functional magnetic resonance (fMRI), these two brain imaging methods complementing each other. PMID:27611929

Comparison of L-system applications towards plant modelling, music rendering and score generation using visual language programming

NASA Astrophysics Data System (ADS)

Lim, Chen Kim; Tan, Kian Lam; Yusran, Hazwanni; Suppramaniam, Vicknesh

2017-10-01

Visual language or visual representation has been used in the past few years in order to express the knowledge in graphic. One of the important graphical elements is fractal and L-Systems is a mathematic-based grammatical model for modelling cell development and plant topology. From the plant model, L-Systems can be interpreted as music sound and score. In this paper, LSound which is a Visual Language Programming (VLP) framework has been developed to model plant to music sound and generate music score and vice versa. The objectives of this research has three folds: (i) To expand the grammar dictionary of L-Systems music based on visual programming, (ii) To design and produce a user-friendly and icon based visual language framework typically for L-Systems musical score generation which helps the basic learners in musical field and (iii) To generate music score from plant models and vice versa using L-Systems method. This research undergoes a four phases methodology where the plant is first modelled, then the music is interpreted, followed by the output of music sound through MIDI and finally score is generated. LSound is technically compared to other existing applications in the aspects of the capability of modelling the plant, rendering the music and generating the sound. It has been found that LSound is a flexible framework in which the plant can be easily altered through arrow-based programming and the music score can be altered through the music symbols and notes. This work encourages non-experts to understand L-Systems and music hand-in-hand.

Music modulation of pain perception and pain-related activity in the brain, brain stem, and spinal cord: a functional magnetic resonance imaging study.

PubMed

Dobek, Christine E; Beynon, Michaela E; Bosma, Rachael L; Stroman, Patrick W

2014-10-01

The oldest known method for relieving pain is music, and yet, to date, the underlying neural mechanisms have not been studied. Here, we investigate these neural mechanisms by applying a well-defined painful stimulus while participants listened to their favorite music or to no music. Neural responses in the brain, brain stem, and spinal cord were mapped with functional magnetic resonance imaging spanning the cortex, brain stem, and spinal cord. Subjective pain ratings were observed to be significantly lower when pain was administered with music than without music. The pain stimulus without music elicited neural activity in brain regions that are consistent with previous studies. Brain regions associated with pleasurable music listening included limbic, frontal, and auditory regions, when comparing music to non-music pain conditions. In addition, regions demonstrated activity indicative of descending pain modulation when contrasting the 2 conditions. These regions include the dorsolateral prefrontal cortex, periaqueductal gray matter, rostral ventromedial medulla, and dorsal gray matter of the spinal cord. This is the first imaging study to characterize the neural response of pain and how pain is mitigated by music, and it provides new insights into the neural mechanism of music-induced analgesia within the central nervous system. This article presents the first investigation of neural processes underlying music analgesia in human participants. Music modulates pain responses in the brain, brain stem, and spinal cord, and neural activity changes are consistent with engagement of the descending analgesia system. Copyright © 2014 American Pain Society. Published by Elsevier Inc. All rights reserved.

Audio stream classification for multimedia database search

NASA Astrophysics Data System (ADS)

Artese, M.; Bianco, S.; Gagliardi, I.; Gasparini, F.

2013-03-01

Search and retrieval of huge archives of Multimedia data is a challenging task. A classification step is often used to reduce the number of entries on which to perform the subsequent search. In particular, when new entries of the database are continuously added, a fast classification based on simple threshold evaluation is desirable. In this work we present a CART-based (Classification And Regression Tree [1]) classification framework for audio streams belonging to multimedia databases. The database considered is the Archive of Ethnography and Social History (AESS) [2], which is mainly composed of popular songs and other audio records describing the popular traditions handed down generation by generation, such as traditional fairs, and customs. The peculiarities of this database are that it is continuously updated; the audio recordings are acquired in unconstrained environment; and for the non-expert human user is difficult to create the ground truth labels. In our experiments, half of all the available audio files have been randomly extracted and used as training set. The remaining ones have been used as test set. The classifier has been trained to distinguish among three different classes: speech, music, and song. All the audio files in the dataset have been previously manually labeled into the three classes above defined by domain experts.

Teaching Spelling and Vocabulary to At Risk Students Utilizing the Musical/Rhythmic Intelligence.

ERIC Educational Resources Information Center

Sundberg, Robert Eric

This study examined non-traditional methods in teaching spelling and vocabulary using music and rhythm in instruction. Subjects were 4 at-risk students in a class of 29 students in a seventh-grade classroom at a middle school in Marin County, California. A musical component was added to instruction as part of the seventh-grade students' processing…

Guiding the Influence of Hip-Hop Music on Middle-School Students' Feelings, Thinking, and Behaving

ERIC Educational Resources Information Center

Brown, Veda

2006-01-01

Although the nature of the relationship of music on students' emotional development remains an issue for continued research, my overall purpose is to provide adults with research-based methods to help children become better consumers of hip-hop music. First, I identify research-based recommendations to prepare adults as facilitators of children's…

A Comparative Study on the Attitudes and Uses of Music by Adults with Visual Impairments and Those Who Are Sighted

ERIC Educational Resources Information Center

Park, Hye Young; Chong, Hyun Ju; Kim, Soo Ji

2015-01-01

Introduction: This study investigated attitudes (intrapersonal, interpersonal, and communal) toward, and uses of, music among people with visual impairments compared with those who are sighted to investigate the potential of music as a means of communication and social expression. Method: A total of 137 participants (63 visually impaired, 74…

An Examination of Physical Education Teachers' Perceptions of Utilizing Contemporary Music in the Classroom Environment: A Qualitative Approach

ERIC Educational Resources Information Center

Barney, David C.; Pleban, Francis T.

2018-01-01

Objectives: To provide further information regarding physical education (PE) teachers' perceptions of incorporating music in PE lessons and to evaluate the influence of music on the classroom environment using a qualitative approach. Method: Electronic survey interviews were conducted with 26 veteran PE instructors (10 male, 16 female), from 7…

Music Therapy for Symptom Management After Autologous Stem Cell Transplantation: Results From a Randomized Study.

PubMed

Bates, Debbie; Bolwell, Brian; Majhail, Navneet S; Rybicki, Lisa; Yurch, Melissa; Abounader, Donna; Kohuth, Joseph; Jarancik, Shannon; Koniarczyk, Heather; McLellan, Linda; Dabney, Jane; Lawrence, Christine; Gallagher, Lisa; Kalaycio, Matt; Sobecks, Ronald; Dean, Robert; Hill, Brian; Pohlman, Brad; Hamilton, Betty K; Gerds, Aaron T; Jagadeesh, Deepa; Liu, Hien D

2017-09-01

High-dose chemotherapy followed by autologous stem cell transplantation (ASCT) is frequently performed in patients with hematologic malignancies. ASCT can result in significant nausea, pain, and discomfort. Supportive care has improved, and pharmacologic therapies are frequently used, but with limitations. Music has been demonstrated to improve nausea and pain in patients undergoing chemotherapy, but little data are available regarding the effects of music therapy in the transplantation setting. In a prospective study, patients with lymphoma or multiple myeloma undergoing ASCT were randomized to receive either interactive music therapy with a board-certified music therapist or no music therapy. The music therapy arm received 2 music therapy sessions on days +1 and +5. Primary outcomes were perception of pain and nausea measured on a visual analog scale. Secondary outcomes were narcotic pain medication use from day -1 to day +5 and impact of ASCT on patient mood as assessed by Profile of Mood States (POMS) on day +5. Eighty-two patients were enrolled, with 37 in the music therapy arm and 45 in the no music therapy arm. Patients who received MT had slightly increased nausea by day +7 compared with the no music therapy patients. The music therapy and no music therapy patients had similar pain scores; however, the patients who received music therapy used significantly less narcotic pain medication (median, 24 mg versus 73 mg; P = .038). Music therapy may be a viable nonpharmacologic method of pain management for patients undergoing ASCT; the music therapy patients required significantly fewer morphine equivalent doses compared with the no music therapy patients. Additional research is needed to better understand the effects of music therapy on patient-perceived symptoms, such as pain and nausea. Copyright © 2017 The American Society for Blood and Marrow Transplantation. Published by Elsevier Inc. All rights reserved.

Autonomic Effects of Music in Health and Crohn's Disease: The Impact of Isochronicity, Emotional Valence, and Tempo

PubMed Central

Krabs, Roland Uwe; Enk, Ronny; Teich, Niels; Koelsch, Stefan

2015-01-01

Background Music can evoke strong emotions and thus elicit significant autonomic nervous system (ANS) responses. However, previous studies investigating music-evoked ANS effects produced inconsistent results. In particular, it is not clear (a) whether simply a musical tactus (without common emotional components of music) is sufficient to elicit ANS effects; (b) whether changes in the tempo of a musical piece contribute to the ANS effects; (c) whether emotional valence of music influences ANS effects; and (d) whether music-elicited ANS effects are comparable in healthy subjects and patients with Crohn´s disease (CD, an inflammatory bowel disease suspected to be associated with autonomic dysfunction). Methods To address these issues, three experiments were conducted, with a total of n = 138 healthy subjects and n = 19 CD patients. Heart rate (HR), heart rate variability (HRV), and electrodermal activity (EDA) were recorded while participants listened to joyful pleasant music, isochronous tones, and unpleasant control stimuli. Results Compared to silence, both pleasant music and unpleasant control stimuli elicited an increase in HR and a decrease in a variety of HRV parameters. Surprisingly, similar ANS effects were elicited by isochronous tones (i.e., simply by a tactus). ANS effects did not differ between pleasant and unpleasant stimuli, and different tempi of the music did not entrain ANS activity. Finally, music-evoked ANS effects did not differ between healthy individuals and CD patients. Conclusions The isochronous pulse of music (i.e., the tactus) is a major factor of music-evoked ANS effects. These ANS effects are characterized by increased sympathetic activity. The emotional valence of a musical piece contributes surprisingly little to the ANS activity changes evoked by that piece. PMID:25955253

The effect of music therapy on physiological signs of anxiety in patients receiving mechanical ventilatory support.

PubMed

Korhan, Esra Akin; Khorshid, Leyla; Uyar, Mehmet

2011-04-01

The aim of this study was to investigate if relaxing music is an effective method of reducing the physiological signs of anxiety in patients receiving mechanical ventilatory support. Few studies have focused on the effect of music on physiological signs of anxiety in patients receiving mechanical ventilatory support. A study-case-control, experimental repeated measures design was used. Sixty patients aged 18-70 years, receiving mechanical ventilatory support and hospitalised in the intensive care unit, were taken as a convenience sample. Participants were randomised to a control group or intervention group, who received 60 minutes of music therapy. Classical music was played to patients using media player (MP3) and headphones. Subjects had physiological signs taken immediately before the intervention and at the 30th, 60th and 90th minutes of the intervention. Physiological signs of anxiety assessed in this study were mean systolic and diastolic blood pressure, pulse rate, respiratory rate and oxygen saturation in blood measured by pulse oxymetry. Data were collected over eight months in 2006-2007. The music group had significantly lower respiratory rates, and systolic and diastolic blood pressure, than the control group. This decrease improved progressively in the 30th, 60th and 90th minutes of the intervention, indicating a cumulative dose effect. Music can provide an effective method of reducing potentially harmful physiological responses arising from anxiety. As indicated by the results of this study, music therapy can be supplied to allay anxiety in patients receiving mechanical ventilation. Nurses may include music therapy in the routine care of patients receiving mechanical ventilation. © 2011 Blackwell Publishing Ltd.

The systematic review as a research process in music therapy.

PubMed

Hanson-Abromeit, Deanna; Sena Moore, Kimberly

2014-01-01

Music therapists are challenged to present evidence on the efficacy of music therapy treatment and incorporate the best available research evidence to make informed healthcare and treatment decisions. Higher standards of evidence can come from a variety of sources including systematic reviews. To define and describe a range of research review methods using examples from music therapy and related literature, with emphasis on the systematic review. In addition, the authors provide a detailed overview of methodological processes for conducting and reporting systematic reviews in music therapy. The systematic review process is described in five steps. Step 1 identifies the research plan and operationalized research question(s). Step 2 illustrates the identification and organization of the existing literature related to the question(s). Step 3 details coding of data extracted from the literature. Step 4 explains the synthesis of coded findings and analysis to answer the research question(s). Step 5 describes the strength of evidence evaluation and results presentation for practice recommendations. Music therapists are encouraged to develop and conduct systematic reviews. This methodology contributes to review outcome credibility and can determine how information is interpreted and used by clinicians, clients or patients, and policy makers. A systematic review is a methodologically rigorous research method used to organize and evaluate extant literature related to a clinical problem. Systematic reviews can assist music therapists in managing the ever-increasing literature, making well-informed evidence based practice and research decisions, and translating existing music-based and nonmusic based literature to clinical practice and research development. © the American Music Therapy Association 2014. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Audio-based deep music emotion recognition

NASA Astrophysics Data System (ADS)

Liu, Tong; Han, Li; Ma, Liangkai; Guo, Dongwei

2018-05-01

As the rapid development of multimedia networking, more and more songs are issued through the Internet and stored in large digital music libraries. However, music information retrieval on these libraries can be really hard, and the recognition of musical emotion is especially challenging. In this paper, we report a strategy to recognize the emotion contained in songs by classifying their spectrograms, which contain both the time and frequency information, with a convolutional neural network (CNN). The experiments conducted on the l000-song dataset indicate that the proposed model outperforms traditional machine learning method.

Implementation of MP3 player for music therapy on hypertension.

PubMed

Yu, J Y; Huang, D F; Li, Y; Zhang, Y T

2009-01-01

Hypertension is a common clinical disease and a major risk to human health. Many clinical findings indicate that certain types of music can reduce blood pressure (BP), and music therapy is considered as an important part of anti-hypertension treatment. We integrate our former related research achievement into the new MP3 player, which can also detect the current BP value with a cuffless measurement method. According to the current BP value, the MP3 player selects certain types of music for playing in order to alleviate the hypertension of patients.

[Can music therapy for patients with neurological disorders?].

PubMed

Myskja, Audun

2004-12-16

Recent developments in brain research and in the field of music therapy have led to the development of music-based methods specifically aimed at relieving symptoms of Parkinson's disease and other neurologic disorders. Rhythmic auditory stimulation uses external rhythmic auditory cues from song, music or metronome to aid patients improving their walking functioning and has been shown to be effective both within sessions and as a result of training over time. Melodic intonation therapy and related vocal techniques can improve expressive dysphasia and aid rehabilitation of neurologic disorders, particularly Parkinson's disease, stroke and developmental disorders.

Constituents of Music and Visual-Art Related Pleasure – A Critical Integrative Literature Review

PubMed Central

Tiihonen, Marianne; Brattico, Elvira; Maksimainen, Johanna; Wikgren, Jan; Saarikallio, Suvi

2017-01-01

The present literature review investigated how pleasure induced by music and visual-art has been conceptually understood in empirical research over the past 20 years. After an initial selection of abstracts from seven databases (keywords: pleasure, reward, enjoyment, and hedonic), twenty music and eleven visual-art papers were systematically compared. The following questions were addressed: (1) What is the role of the keyword in the research question? (2) Is pleasure considered a result of variation in the perceiver’s internal or external attributes? (3) What are the most commonly employed methods and main variables in empirical settings? Based on these questions, our critical integrative analysis aimed to identify which themes and processes emerged as key features for conceptualizing art-induced pleasure. The results demonstrated great variance in how pleasure has been approached: In the music studies pleasure was often a clear object of investigation, whereas in the visual-art studies the term was often embedded into the context of an aesthetic experience, or used otherwise in a descriptive, indirect sense. Music studies often targeted different emotions, their intensity or anhedonia. Biographical and background variables and personality traits of the perceiver were often measured. Next to behavioral methods, a common method was brain imaging which often targeted the reward circuitry of the brain in response to music. Visual-art pleasure was also frequently addressed using brain imaging methods, but the research focused on sensory cortices rather than the reward circuit alone. Compared with music research, visual-art research investigated more frequently pleasure in relation to conscious, cognitive processing, where the variations of stimulus features and the changing of viewing modes were regarded as explanatory factors of the derived experience. Despite valence being frequently applied in both domains, we conclude, that in empirical music research pleasure seems to be part of core affect and hedonic tone modulated by stable personality variables, whereas in visual-art research pleasure is a result of the so called conceptual act depending on a chosen strategy to approach art. We encourage an integration of music and visual-art into to a multi-modal framework to promote a more versatile understanding of pleasure in response to aesthetic artifacts. PMID:28775697

Structural and functional neural correlates of music perception.

PubMed

Limb, Charles J

2006-04-01

This review article highlights state-of-the-art functional neuroimaging studies and demonstrates the novel use of music as a tool for the study of human auditory brain structure and function. Music is a unique auditory stimulus with properties that make it a compelling tool with which to study both human behavior and, more specifically, the neural elements involved in the processing of sound. Functional neuroimaging techniques represent a modern and powerful method of investigation into neural structure and functional correlates in the living organism. These methods have demonstrated a close relationship between the neural processing of music and language, both syntactically and semantically. Greater neural activity and increased volume of gray matter in Heschl's gyrus has been associated with musical aptitude. Activation of Broca's area, a region traditionally considered to subserve language, is important in interpreting whether a note is on or off key. The planum temporale shows asymmetries that are associated with the phenomenon of perfect pitch. Functional imaging studies have also demonstrated activation of primitive emotional centers such as ventral striatum, midbrain, amygdala, orbitofrontal cortex, and ventral medial prefrontal cortex in listeners of moving musical passages. In addition, studies of melody and rhythm perception have elucidated mechanisms of hemispheric specialization. These studies show the power of music and functional neuroimaging to provide singularly useful tools for the study of brain structure and function.

Teacher Perceptions of Music as a Supplemental Teaching Method for Reading and Literacy

ERIC Educational Resources Information Center

Monroe, Ronald J.

2017-01-01

Supplemental instructional methods are needed to help students achieve grade-level proficiency in reading and literacy in inner-city elementary schools. Teachers employ music concepts and skills during literacy instruction as a motivator for students to acquire proficiency in literacy and reading. Interviews, informal observations and focus group…

Music Engineering as a Novel Strategy for Enhancing Music Enjoyment in the Cochlear Implant Recipient

PubMed Central

Kohlberg, Gavriel D.; Mancuso, Dean M.; Chari, Divya A.; Lalwani, Anil K.

2015-01-01

Objective. Enjoyment of music remains an elusive goal following cochlear implantation. We test the hypothesis that reengineering music to reduce its complexity can enhance the listening experience for the cochlear implant (CI) listener. Methods. Normal hearing (NH) adults (N = 16) and CI listeners (N = 9) evaluated a piece of country music on three enjoyment modalities: pleasantness, musicality, and naturalness. Participants listened to the original version along with 20 modified, less complex, versions created by including subsets of the musical instruments from the original song. NH participants listened to the segments both with and without CI simulation processing. Results. Compared to the original song, modified versions containing only 1–3 instruments were less enjoyable to the NH listeners but more enjoyable to the CI listeners and the NH listeners with CI simulation. Excluding vocals and including rhythmic instruments improved enjoyment for NH listeners with CI simulation but made no difference for CI listeners. Conclusions. Reengineering a piece of music to reduce its complexity has the potential to enhance music enjoyment for the cochlear implantee. Thus, in addition to improvements in software and hardware, engineering music specifically for the CI listener may be an alternative means to enhance their listening experience. PMID:26543322

Dynamics of brain activity in motor and frontal cortical areas during music listening: a magnetoencephalographic study.

PubMed

Popescu, Mihai; Otsuka, Asuka; Ioannides, Andreas A

2004-04-01

There are formidable problems in studying how 'real' music engages the brain over wide ranges of temporal scales extending from milliseconds to a lifetime. In this work, we recorded the magnetoencephalographic signal while subjects listened to music as it unfolded over long periods of time (seconds), and we developed and applied methods to correlate the time course of the regional brain activations with the dynamic aspects of the musical sound. We showed that frontal areas generally respond with slow time constants to the music, reflecting their more integrative mode; motor-related areas showed transient-mode responses to fine temporal scale structures of the sound. The study combined novel analysis techniques designed to capture and quantify fine temporal sequencing from the authentic musical piece (characterized by a clearly defined rhythm and melodic structure) with the extraction of relevant features from the dynamics of the regional brain activations. The results demonstrated that activity in motor-related structures, specifically in lateral premotor areas, supplementary motor areas, and somatomotor areas, correlated with measures of rhythmicity derived from the music. These correlations showed distinct laterality depending on how the musical performance deviated from the strict tempo of the music score, that is, depending on the musical expression.

Cortical Signatures of Heard and Imagined Speech Envelopes

DTIC Science & Technology

2013-08-01

music  has  a  great   rhythm,  and  6)  The  government  sought  authorization  of  his...a   training  set  and  a  testing  set.    This  partitioning  was  performed  to  prevent  circular  inference...and  to   facilitate  the  classification  procedures  described  in  the  next  few  sections.    The   training

Musical plus phonological input for young foreign language readers

PubMed Central

Fonseca-Mora, M. C.; Jara-Jiménez, Pilar; Gómez-Domínguez, María

2015-01-01

Based on previous studies showing that phonological awareness is related to reading abilities and that music training improves phonological processing, the aim of the present study was to test for the efficiency of a new method for teaching to read in a foreign language. Specifically, we tested the efficacy of a phonological training program, with and without musical support that aimed at improving early reading skills in 7–8-year-old Spanish children (n = 63) learning English as a foreign language. Of interest was also to explore the impact of this training program on working memory and decoding skills. To achieve these goals we tested three groups of children before and after training: a control group, an experimental group with phonological non-musical intervention (active control), and an experimental group with musical intervention. Results clearly point to the beneficial effects of the phonological teaching approach but the further impact of the music support was not demonstrated. Moreover, while children in the music group showed low musical aptitudes before training, they nevertheless performed better than the control group. Therefore, the phonological training program with and without music support seem to have significant effects on early reading skills. PMID:25852604

Musical plus phonological input for young foreign language readers.

PubMed

Fonseca-Mora, M C; Jara-Jiménez, Pilar; Gómez-Domínguez, María

2015-01-01

Based on previous studies showing that phonological awareness is related to reading abilities and that music training improves phonological processing, the aim of the present study was to test for the efficiency of a new method for teaching to read in a foreign language. Specifically, we tested the efficacy of a phonological training program, with and without musical support that aimed at improving early reading skills in 7-8-year-old Spanish children (n = 63) learning English as a foreign language. Of interest was also to explore the impact of this training program on working memory and decoding skills. To achieve these goals we tested three groups of children before and after training: a control group, an experimental group with phonological non-musical intervention (active control), and an experimental group with musical intervention. Results clearly point to the beneficial effects of the phonological teaching approach but the further impact of the music support was not demonstrated. Moreover, while children in the music group showed low musical aptitudes before training, they nevertheless performed better than the control group. Therefore, the phonological training program with and without music support seem to have significant effects on early reading skills.

Musical Agency during Physical Exercise Decreases Pain.

PubMed

Fritz, Thomas H; Bowling, Daniel L; Contier, Oliver; Grant, Joshua; Schneider, Lydia; Lederer, Annette; Höer, Felicia; Busch, Eric; Villringer, Arno

2017-01-01

Objectives: When physical exercise is systematically coupled to music production, exercisers experience improvements in mood, reductions in perceived effort, and enhanced muscular efficiency. The physiology underlying these positive effects remains unknown. Here we approached the investigation of how such musical agency may stimulate the release of endogenous opioids indirectly with a pain threshold paradigm. Design: In a cross-over design we tested the opioid-hypothesis with an indirect measure, comparing the pain tolerance of 22 participants following exercise with or without musical agency. Method: Physical exercise was coupled to music by integrating weight-training machines with sensors that control music-synthesis in real time. Pain tolerance was measured as withdrawal time in a cold pressor test. Results: On average, participants tolerated cold pain for ~5 s longer following exercise sessions with musical agency. Musical agency explained 25% of the variance in cold pressor test withdrawal times after factoring out individual differences in general pain sensitivity. Conclusions: This result demonstrates a substantial pain reducing effect of musical agency in combination with physical exercise, probably due to stimulation of endogenous opioid mechanisms. This has implications for exercise endurance, both in sports and a multitude of rehabilitative therapies in which physical exercise is effective but painful.

Musical Agency during Physical Exercise Decreases Pain

PubMed Central

Fritz, Thomas H.; Bowling, Daniel L.; Contier, Oliver; Grant, Joshua; Schneider, Lydia; Lederer, Annette; Höer, Felicia; Busch, Eric; Villringer, Arno

2018-01-01

Objectives: When physical exercise is systematically coupled to music production, exercisers experience improvements in mood, reductions in perceived effort, and enhanced muscular efficiency. The physiology underlying these positive effects remains unknown. Here we approached the investigation of how such musical agency may stimulate the release of endogenous opioids indirectly with a pain threshold paradigm. Design: In a cross-over design we tested the opioid-hypothesis with an indirect measure, comparing the pain tolerance of 22 participants following exercise with or without musical agency. Method: Physical exercise was coupled to music by integrating weight-training machines with sensors that control music-synthesis in real time. Pain tolerance was measured as withdrawal time in a cold pressor test. Results: On average, participants tolerated cold pain for ~5 s longer following exercise sessions with musical agency. Musical agency explained 25% of the variance in cold pressor test withdrawal times after factoring out individual differences in general pain sensitivity. Conclusions: This result demonstrates a substantial pain reducing effect of musical agency in combination with physical exercise, probably due to stimulation of endogenous opioid mechanisms. This has implications for exercise endurance, both in sports and a multitude of rehabilitative therapies in which physical exercise is effective but painful. PMID:29387030

Randomized Controlled Trials in Music Therapy: Guidelines for Design and Implementation.

PubMed

Bradt, Joke

2012-01-01

Evidence from randomized controlled trials (RCTs) plays a powerful role in today's healthcare industry. At the same time, it is important that multiple types of evidence contribute to music therapy's knowledge base and that the dialogue of clinical effectiveness in music therapy is not dominated by the biomedical hierarchical model of evidence-based practice. Whether or not one agrees with the hierarchical model of evidence in the current healthcare climate, RCTs can contribute important knowledge to our field. Therefore, it is important that music therapists are prepared to design trials that meet current methodological standards and, equally important, are able to respond appropriately to those design aspects that may not be feasible in music therapy research. To provide practical guidelines to music therapy researchers for the design and implementation of RCTs as well as to enable music therapists to be well-informed consumers of RCT evidence. This article reviews key design aspects of RCTs and discusses how to best implement these standards in music therapy trials. A systematic presentation of basic randomization methods, allocation concealment strategies, issues related to blinding in music therapy trials and strategies for implementation, the use of treatment manuals, types of control groups, outcome selection, and sample size computation is provided. Despite the challenges of meeting all key design demands typical of an RCT, it is possible to design rigorous music therapy RCTs that accurately estimate music therapy treatment benefits.

The psychological functions of music listening

PubMed Central

Schäfer, Thomas; Sedlmeier, Peter; Städtler, Christine; Huron, David

2013-01-01

Why do people listen to music? Over the past several decades, scholars have proposed numerous functions that listening to music might fulfill. However, different theoretical approaches, different methods, and different samples have left a heterogeneous picture regarding the number and nature of musical functions. Moreover, there remains no agreement about the underlying dimensions of these functions. Part one of the paper reviews the research contributions that have explicitly referred to musical functions. It is concluded that a comprehensive investigation addressing the basic dimensions underlying the plethora of functions of music listening is warranted. Part two of the paper presents an empirical investigation of hundreds of functions that could be extracted from the reviewed contributions. These functions were distilled to 129 non-redundant functions that were then rated by 834 respondents. Principal component analysis suggested three distinct underlying dimensions: People listen to music to regulate arousal and mood, to achieve self-awareness, and as an expression of social relatedness. The first and second dimensions were judged to be much more important than the third—a result that contrasts with the idea that music has evolved primarily as a means for social cohesion and communication. The implications of these results are discussed in light of theories on the origin and the functionality of music listening and also for the application of musical stimuli in all areas of psychology and for research in music cognition. PMID:23964257

[The use of music intervention in nursing practice for elderly dementia patients: a systematic review].

PubMed

Li, Yi-Hui; Chen, Shu-Ming; Chou, Man-Chun; Huang, Tsuey-Yuan

2014-04-01

Although music therapy is now applied widely as an intervention for elderly dementia patients, the effectiveness of this therapy is not yet well understood. This study conducts a systematic review of clinical studies that address the effectiveness of music therapy in elderly dementia patients. Databases including MEDLINE, Cochrane Library, ProQuest, EBMR, CINAHL, and CEPS were searched for relevant articles published between 2004 and 2013 using the key words "music" or "music therapy" with "dementia". An initial 272 original articles were identified. Applying inclusion criteria and excluding duplications left 18 articles that used randomized controlled trials to assess the effectiveness of music therapy in elderly participants for further analysis and synthesis. Music therapy was found effective at improving cognitive functions, mental symptoms, and eating problems. However, this therapy was not found effective at improving irritable behavior. Type of music and method of presentation were the most important factors affecting results. Most studies (61.1%) used songs familiar to ÷ favored by the participants; most studies delivered 30-minute interventions twice weekly; and most studies used a therapy duration of 6 hours. Finally, most studies (77.8%) had music therapy sessions performed by either music therapists or trained healthcare providers. This study supports that music therapy is an effective nursing intervention for elderly dementia patients. The authors hope that findings are a helpful reference for clinical nurses to develop practical music therapy procedures and protocols.

Music therapy in the assessment and treatment of autistic spectrum disorder: clinical application and research evidence.

PubMed

Wigram, T; Gold, C

2006-09-01

Children and adolescents with autistic spectrum disorder (ASD) presenting with significant limitations in conventional forms of verbal and non-verbal communication are found to respond positively to music therapy intervention involving both active, improvizational methods and receptive music therapy approaches. Improvizational musical activity with therapeutic objectives and outcomes has been found to facilitate motivation, communication skills and social interaction, as well as sustaining and developing attention. The structure and predictability found in music assist in reciprocal interaction, from which tolerance, flexibility and social engagement to build relationships emerge, relying on a systematic approach to promote appropriate and meaningful interpersonal responses. Published reports of the value and effectiveness of music therapy as an intervention for children with ASD range from controlled studies to clinical case reports. Further documentation has emphasized the role music therapy plays in diagnostic and clinical assessment. Music therapy assessment can identify limitations and weaknesses in children, as well as strengths and potentials. Research evidence from a systematic review found two randomized controlled trials that examined short-term effects of structured music therapy intervention. Significant effects were found in these studies even with extremely small samples, and the findings are important because they demonstrate the potential of the medium of music for autistic children. Case series studies were identified that examined the effects of improvizational music therapy where communicative behaviour, language development, emotional responsiveness, attention span and behavioural control improved over the course of an intervention of improvizational music therapy.

A Description of the Use of Music Therapy in Consultation-Liaison Psychiatry

PubMed Central

Ries, Rose

2007-01-01

Music therapy is gaining increasing recognition for its benefit in medical settings both for its salutary effects on physiological parameters and on psychological states associated with medical illness. This article discusses the role of a music therapist in consultation-liaison psychiatry, a specialty that provides intervention for medical and surgical patients with concomitant mental health issues. We describe the ways in which music therapy has been integrated into the consultation-liaison psychiatry service at Hahnemann University Hospital, a tertiary care facility and major trauma center in Philadelphia. The referral process and some of the techniques used in music therapy are explained. Anecdotal observations illustrate how a music therapist incorporates the various elements of music as well as the experiences of engaging in music-making to bring about changes in mood and facilitate expression of feelings and social interactions in patients who are having difficulty coping with the effects of illness and hospitalization. These methods have also been observed to have positive effects on the hospital staff by making available a means with which staff can express pressures inherent in direct patient care. PMID:20805929

On one approach to health protection: Music of the brain.

PubMed

Fedotchev, Alexander; Radchenko, Grigoriy; Zemlianaia, Anna

2017-10-18

This review presents the current status of a method for prevention and timely correction of human functional disturbances that was first proposed by Russian neurologist Ya.I. Levin in 1998 and further developed by the authors. The approach is named "Music of the Brain" and is based on musical or music-like stimulation organized in strict accordance with the biopotentials of a patient's brain. Initial studies on the music of the brain approach were analyzed, and its limitations were noted. To enhance the efficiency and usability of the approach, several combinations of music therapy with neurofeedback technique - musical neurofeedback - were developed. Enhanced efficiency of the approach has been shown for correction of functional disturbances during pregnancy and for elimination of stress-induced states in high technology specialists. The use and advantages of musical neurofeedback technology for increasing human cognitive activity, correcting sleep disturbances and treatment of disorders of attention were verified. After further development and testing the approach may be suited for a wide range of therapeutic and rehabilitation procedures in the protection of public health.

Vocal Music Therapy for Chronic Pain Management in Inner City African Americans: A Mixed Methods Feasibility Study

PubMed Central

Bradt, Joke; Norris, Marisol; Shim, Minjung; Gracely, Edward J.; Gerrity, Patricia

2017-01-01

Background To date, research on music for pain management has focused primarily on listening to pre-recorded music for acute pain. Research is needed on the impact of active music therapy interventions on chronic pain management. Objective The aim of this mixed methods research study was to determine feasibility and estimates of effect of vocal music therapy for chronic pain management. Methods Fifty-five inner city adults, predominantly African-Americans, with chronic pain were randomized to an 8-week vocal music therapy treatment group or waitlist control group. Consent and attrition rates, treatment compliance, and instrument appropriateness/burden were tracked. Physical functioning (pain interference and general activities), self-efficacy, emotional functioning, pain intensity, pain coping, and participant perception of change were measured at baseline, 4, 8, and 12 weeks. Focus groups were conducted at the 12-week follow-up. Results The consent rate was 77%. The attrition rate was 27% at follow-up. We established acceptability of the intervention. Large effect sizes were obtained for self-efficacy at weeks 8 and 12; a moderate effect size was found for pain interference at week 8; no improvements were found for general activities and emotional functioning. Moderate effect sizes were obtained for pain intensity and small effect sizes for coping, albeit not statistically significant. Qualitative findings suggested that the treatment resulted in enhanced self-management, motivation, empowerment, a sense of belonging, and reduced isolation. Conclusions This study suggests that vocal music therapy may be effective in building essential stepping stones for effective chronic pain management namely enhanced self-efficacy, motivation, empowerment, and social engagement. PMID:27090149

Original science-based music and student learning

NASA Astrophysics Data System (ADS)

Smolinski, Keith

American middle school student science scores have been stagnating for several years, demonstrating a need for better learning strategies to aid teachers in instruction and students in content learning. It has also been suggested by researchers that music can be used to aid students in their learning and memory. Employing the theoretical framework of brain-based learning, the purpose of this study was to examine the impact of original, science-based music on student content learning and student perceptions of the music and its impact on learning. Students in the treatment group at a public middle school learned songs with lyrics related to the content of a 4-week cells unit in science; whereas an equally sized control group was taught the same material using existing methods. The content retention and learning experiences of the students in this study were examined using a concurrent triangulation, mixed-methods study. Independent sample t test and ANOVA analyses were employed to determine that the science posttest scores of students in the treatment group (N = 93) were significantly higher than the posttest scores of students in the control group (N = 93), and that the relative gains of the boys in the treatment group exceeded those of the girls. The qualitative analysis of 10 individual interviews and 3 focus group interviews followed Patton's method of a priori coding, cross checking, and thematic analysis to examine the perceptions of the treatment group. These results confirmed that the majority of the students thought the music served as an effective learning tool and enhanced recall. This study promoted social change because students and teachers gained insight into how music can be used in science classrooms to aid in the learning of science content. Researchers could also utilize the findings for continued investigation of the interdisciplinary use of music in educational settings.

From fragments to the whole: a comparison between cochlear implant users and normal-hearing listeners in music perception and enjoyment.

PubMed

Alexander, Ashlin J; Bartel, Lee; Friesen, Lendra; Shipp, David; Chen, Joseph

2011-02-01

Cochlear implants (CIs) allow many profoundly deaf individuals to regain speech understanding. However, the ability to understand speech does not necessarily guarantee music enjoyment. Enabling a CI user to recover the ability to perceive and enjoy the complexity of music remains a challenge determined by many factors. (1) To construct a novel, attention-based, diagnostic software tool (Music EAR) for the assessment of music enjoyment and perception and (2) to compare the results among three listener groups. Thirty-six subjects completed the Music EAR assessment tool: 12 normal-hearing musicians (NHMs), 12 normal-hearing nonmusicians (NHnMs), and 12 CI listeners. Subjects were required to (1) rate enjoyment of musical excerpts at three complexity levels; (2) differentiate five instrumental timbres; (3) recognize pitch pattern variation; and (4) identify target musical patterns embedded holistically in a melody. Enjoyment scores for CI users were comparable to those for NHMs and superior to those for NHnMs and revealed that implantees enjoyed classical music most. CI users performed significantly poorer in all categories of music perception compared to normal-hearing listeners. Overall CI user scores were lowest in those tasks requiring increased attention. Two high-performing subjects matched or outperformed NHnMs in pitch and timbre perception tasks. The Music EAR assessment tool provides a unique approach to the measurement of music perception and enjoyment in CI users. Together with auditory training evidence, the results provide considerable hope for further recovery of music appreciation through methodical rehabilitation.

Windowed time-reversal music technique for super-resolution ultrasound imaging

DOE Office of Scientific and Technical Information (OSTI.GOV)

Huang, Lianjie; Labyed, Yassin

Systems and methods for super-resolution ultrasound imaging using a windowed and generalized TR-MUSIC algorithm that divides the imaging region into overlapping sub-regions and applies the TR-MUSIC algorithm to the windowed backscattered ultrasound signals corresponding to each sub-region. The algorithm is also structured to account for the ultrasound attenuation in the medium and the finite-size effects of ultrasound transducer elements.

Perceptually Salient Regions of the Modulation Power Spectrum for Musical Instrument Identification.

PubMed

Thoret, Etienne; Depalle, Philippe; McAdams, Stephen

2017-01-01

The ability of a listener to recognize sound sources, and in particular musical instruments from the sounds they produce, raises the question of determining the acoustical information used to achieve such a task. It is now well known that the shapes of the temporal and spectral envelopes are crucial to the recognition of a musical instrument. More recently, Modulation Power Spectra (MPS) have been shown to be a representation that potentially explains the perception of musical instrument sounds. Nevertheless, the question of which specific regions of this representation characterize a musical instrument is still open. An identification task was applied to two subsets of musical instruments: tuba, trombone, cello, saxophone, and clarinet on the one hand, and marimba, vibraphone, guitar, harp, and viola pizzicato on the other. The sounds were processed with filtered spectrotemporal modulations with 2D Gaussian windows. The most relevant regions of this representation for instrument identification were determined for each instrument and reveal the regions essential for their identification. The method used here is based on a "molecular approach," the so-called bubbles method. Globally, the instruments were correctly identified and the lower values of spectrotemporal modulations are the most important regions of the MPS for recognizing instruments. Interestingly, instruments that were confused with each other led to non-overlapping regions and were confused when they were filtered in the most salient region of the other instrument. These results suggest that musical instrument timbres are characterized by specific spectrotemporal modulations, information which could contribute to music information retrieval tasks such as automatic source recognition.

Adolescents' perceptions of music therapy following spinal fusion surgery.

PubMed

Kleiber, Charmaine; Adamek, Mary S

2013-02-01

To explore adolescents' memories about music therapy after spinal fusion surgery and their recommendations for future patients. Spinal fusion for adolescent idiopathic scoliosis is one of the most painful surgeries performed. Music therapy is shown to decrease postoperative pain in children after minor surgery. In preparation for developing a preoperative information program, we interviewed adolescents who had spinal fusion and postoperative music therapy to find out what they remembered and what they recommended for future patients. Eight adolescents who had spinal fusion for adolescent idiopathic scoliosis were interviewed about their experiences. For this qualitative study, the investigators independently used thematic analysis techniques to formulate interpretive themes. Together they discussed their ideas and assigned overall meanings to the information. The eight participants were 13-17 years of age and had surgery between 2-24 months previously. The overarching themes identified from the interviews were relaxation and pain perception, choice and control, therapist interaction and preoperative information. Participants stated that music therapy helped with mental relaxation and distraction from pain. It was important to be able to choose the type of music for the therapy and to use self-control to focus on the positive. Their recommendation was that future patients should be provided with information preoperatively about music therapy and pain management. Participants recommended a combination of auditory and visual information, especially the experiences of previous patients who had spinal fusion and music therapy. Music provided live at the bedside by a music therapist was remembered vividly and positively by most of the participants. The presence of a music therapist providing patient-selected music at the bedside is important. Methods to introduce adolescents to music therapy and how to use music for relaxation should be developed and tested. © 2012 Blackwell Publishing Ltd.

Otoacoustic Emissions before and after Listening to Music on a Personal Player

PubMed Central

Trzaskowski, Bartosz; Jędrzejczak, W. Wiktor; Piłka, Edyta; Cieślicka, Magdalena; Skarżyński, Henryk

2014-01-01

Background The problem of the potential impact of personal music players on the auditory system remains an open question. The purpose of the present study was to investigate, by means of otoacoustic emissions (OAEs), whether listening to music on a personal player affected auditory function. Material/Methods A group of 20 normally hearing adults was exposed to music played on a personal player. Transient evoked OAEs (TEOAEs) and distortion product OAEs (DPOAEs), as well as pure tone audiometry (PTA) thresholds, were tested at 3 stages: before, immediately after, and the next day following 30 min of exposure to music at 86.6 dBA. Results We found no statistically significant changes in OAE parameters or PTA thresholds due to listening to the music. Conclusions These results suggest that exposure to music at levels similar to those used in our study does not disturb cochlear function in a way that can be detected by means of PTA, TEOAE, or DPOAE tests. PMID:25116920

Design of a mobile brain computer interface-based smart multimedia controller.

PubMed

Tseng, Kevin C; Lin, Bor-Shing; Wong, Alice May-Kuen; Lin, Bor-Shyh

2015-03-06

Music is a way of expressing our feelings and emotions. Suitable music can positively affect people. However, current multimedia control methods, such as manual selection or automatic random mechanisms, which are now applied broadly in MP3 and CD players, cannot adaptively select suitable music according to the user's physiological state. In this study, a brain computer interface-based smart multimedia controller was proposed to select music in different situations according to the user's physiological state. Here, a commercial mobile tablet was used as the multimedia platform, and a wireless multi-channel electroencephalograph (EEG) acquisition module was designed for real-time EEG monitoring. A smart multimedia control program built in the multimedia platform was developed to analyze the user's EEG feature and select music according his/her state. The relationship between the user's state and music sorted by listener's preference was also examined in this study. The experimental results show that real-time music biofeedback according a user's EEG feature may positively improve the user's attention state.

Combining EEG, MIDI, and motion capture techniques for investigating musical performance.

PubMed

Maidhof, Clemens; Kästner, Torsten; Makkonen, Tommi

2014-03-01

This article describes a setup for the simultaneous recording of electrophysiological data (EEG), musical data (MIDI), and three-dimensional movement data. Previously, each of these three different kinds of measurements, conducted sequentially, has been proven to provide important information about different aspects of music performance as an example of a demanding multisensory motor skill. With the method described here, it is possible to record brain-related activity and movement data simultaneously, with accurate timing resolution and at relatively low costs. EEG and MIDI data were synchronized with a modified version of the FTAP software, sending synchronization signals to the EEG recording device simultaneously with keypress events. Similarly, a motion capture system sent synchronization signals simultaneously with each recorded frame. The setup can be used for studies investigating cognitive and motor processes during music performance and music-like tasks--for example, in the domains of motor control, learning, music therapy, or musical emotions. Thus, this setup offers a promising possibility of a more behaviorally driven analysis of brain activity.

What Constitutes a Phrase in Sound-Based Music? A Mixed-Methods Investigation of Perception and Acoustics.

PubMed

Olsen, Kirk N; Dean, Roger T; Leung, Yvonne

2016-01-01

Phrasing facilitates the organization of auditory information and is central to speech and music. Not surprisingly, aspects of changing intensity, rhythm, and pitch are key determinants of musical phrases and their boundaries in instrumental note-based music. Different kinds of speech (such as tone- vs. stress-languages) share these features in different proportions and form an instructive comparison. However, little is known about whether or how musical phrasing is perceived in sound-based music, where the basic musical unit from which a piece is created is commonly non-instrumental continuous sounds, rather than instrumental discontinuous notes. This issue forms the target of the present paper. Twenty participants (17 untrained in music) were presented with six stimuli derived from sound-based music, note-based music, and environmental sound. Their task was to indicate each occurrence of a perceived phrase and qualitatively describe key characteristics of the stimulus associated with each phrase response. It was hypothesized that sound-based music does elicit phrase perception, and that this is primarily associated with temporal changes in intensity and timbre, rather than rhythm and pitch. Results supported this hypothesis. Qualitative analysis of participant descriptions showed that for sound-based music, the majority of perceived phrases were associated with intensity or timbral change. For the note-based piano piece, rhythm was the main theme associated with perceived musical phrasing. We modeled the occurrence in time of perceived musical phrases with recurrent event 'hazard' analyses using time-series data representing acoustic predictors associated with intensity, spectral flatness, and rhythmic density. Acoustic intensity and timbre (represented here by spectral flatness) were strong predictors of perceived musical phrasing in sound-based music, and rhythm was only predictive for the piano piece. A further analysis including five additional spectral measures linked to timbre strengthened the models. Overall, results show that even when little of the pitch and rhythm information important for phrasing in note-based music is available, phrasing is still perceived, primarily in response to changes of intensity and timbre. Implications for electroacoustic music composition and music recommender systems are discussed.

What Constitutes a Phrase in Sound-Based Music? A Mixed-Methods Investigation of Perception and Acoustics

PubMed Central

Olsen, Kirk N.; Dean, Roger T.; Leung, Yvonne

2016-01-01

Phrasing facilitates the organization of auditory information and is central to speech and music. Not surprisingly, aspects of changing intensity, rhythm, and pitch are key determinants of musical phrases and their boundaries in instrumental note-based music. Different kinds of speech (such as tone- vs. stress-languages) share these features in different proportions and form an instructive comparison. However, little is known about whether or how musical phrasing is perceived in sound-based music, where the basic musical unit from which a piece is created is commonly non-instrumental continuous sounds, rather than instrumental discontinuous notes. This issue forms the target of the present paper. Twenty participants (17 untrained in music) were presented with six stimuli derived from sound-based music, note-based music, and environmental sound. Their task was to indicate each occurrence of a perceived phrase and qualitatively describe key characteristics of the stimulus associated with each phrase response. It was hypothesized that sound-based music does elicit phrase perception, and that this is primarily associated with temporal changes in intensity and timbre, rather than rhythm and pitch. Results supported this hypothesis. Qualitative analysis of participant descriptions showed that for sound-based music, the majority of perceived phrases were associated with intensity or timbral change. For the note-based piano piece, rhythm was the main theme associated with perceived musical phrasing. We modeled the occurrence in time of perceived musical phrases with recurrent event ‘hazard’ analyses using time-series data representing acoustic predictors associated with intensity, spectral flatness, and rhythmic density. Acoustic intensity and timbre (represented here by spectral flatness) were strong predictors of perceived musical phrasing in sound-based music, and rhythm was only predictive for the piano piece. A further analysis including five additional spectral measures linked to timbre strengthened the models. Overall, results show that even when little of the pitch and rhythm information important for phrasing in note-based music is available, phrasing is still perceived, primarily in response to changes of intensity and timbre. Implications for electroacoustic music composition and music recommender systems are discussed. PMID:27997625

Detection of Heterogeneous Small Inclusions by a Multi-Step MUSIC Method

NASA Astrophysics Data System (ADS)

Solimene, Raffaele; Dell'Aversano, Angela; Leone, Giovanni

2014-05-01

In this contribution the problem of detecting and localizing scatterers with small (in terms of wavelength) cross sections by collecting their scattered field is addressed. The problem is dealt with for a two-dimensional and scalar configuration where the background is given as a two-layered cylindrical medium. More in detail, while scattered field data are taken in the outermost layer, inclusions are embedded within the inner layer. Moreover, the case of heterogeneous inclusions (i.e., having different scattering coefficients) is addressed. As a pertinent applicative context we identify the problem of diagnose concrete pillars in order to detect and locate rebars, ducts and other small in-homogeneities that can populate the interior of the pillar. The nature of inclusions influences the scattering coefficients. For example, the field scattered by rebars is stronger than the one due to ducts. Accordingly, it is expected that the more weakly scattering inclusions can be difficult to be detected as their scattered fields tend to be overwhelmed by those of strong scatterers. In order to circumvent this problem, in this contribution a multi-step MUltiple SIgnal Classification (MUSIC) detection algorithm is adopted [1]. In particular, the first stage aims at detecting rebars. Once rebars have been detected, their positions are exploited to update the Green's function and to subtract the scattered field due to their presence. The procedure is repeated until all the inclusions are detected. The analysis is conducted by numerical experiments for a multi-view/multi-static single-frequency configuration and the synthetic data are generated by a FDTD forward solver. Acknowledgement This work benefited from networking activities carried out within the EU funded COST Action TU1208 "Civil Engineering Applications of Ground Penetrating Radar." [1] R. Solimene, A. Dell'Aversano and G. Leone, "MUSIC algorithms for rebar detection," J. of Geophysics and Engineering, vol. 10, pp. 1-8, 2013

Research Brief--Effects of An Experimental Program on the Quality of Children's Art and Concept Attainment Using a Synthesis of Japanese Music and Art Education Methods.

ERIC Educational Resources Information Center

Platten, Marvin R.; Arimitsu, Tokuroh

1982-01-01

American 4-, 5-, and 6-year-old children participated in an art program synthesizing the Suzuki Music method and an art instruction method developed by Yoshio Tamano. Children receiving the self-paced art lessons at home gained more in concept formation and painting skill than did a control group. (PP)

Physical Activity and Music to Support Pre-School Children's Mathematics Learning

ERIC Educational Resources Information Center

Elofsson, Jessica; Englund Bohm, Anna; Jeppsson, Catarina; Samuelsson, Joakim

2018-01-01

In order to give all children equal opportunities in school, methods to prevent early differences are needed. The overall aim of this study was to investigate the effectiveness of two structured teaching methods: Math in Action, characterised by physical activity and music, and common numerical activities. Children (28 girls, 25 boys) were…

Two Perspectives on Method in Undergraduate Music Education

ERIC Educational Resources Information Center

Coppola, Cathy

2009-01-01

Suzuki, Kodaly, Orff, Dalcroze, Gordon--if one is a music education student, he should be familiar with all these names. But just how familiar? Faced with curricular requirements and limitations, students may struggle to gain a deeper knowledge of these methods. What should they be expected to know about any single one, and how should they go…

Investigation of the Instructional Efficiency of the Trythall Method of Music Dictation Programming. Final Report.

ERIC Educational Resources Information Center

Harriss, Ernest Charles

The purpose of this year-long study was to explore the effectiveness of the Trythall system of music dictation instruction (particularly Trythall's small-step, programmed method) in the training of aural skills--error detection, melodic dictation, rhythmic dictation, harmonic dictation, chord identification, and sight singing. For this study, the…

Missionaries and Tonic Sol-fa Music Pedagogy in 19th-Century China

ERIC Educational Resources Information Center

Southcott, Jane E.; Lee, Angela Hao-Chun

2008-01-01

In the 19th century, Christian missionaries in China, as elsewhere, used the Tonic Sol-fa method of music instruction to aid their evangelizing. This system was designed to improve congregational singing in churches, Sunday schools and missions. The London Missionary Society and other evangelical groups employed the method. These missionaries took…

Simulating the Effects of Spread of Electric Excitation on Musical Tuning and Melody Identification with a Cochlear Implant

ERIC Educational Resources Information Center

Spahr, Anthony J.; Litvak, Leonid M.; Dorman, Michael F.; Bohanan, Ashley R.; Mishra, Lakshmi N.

2008-01-01

Purpose: To determine why, in a pilot study, only 1 of 11 cochlear implant listeners was able to reliably identify a frequency-to-electrode map where the intervals of a familiar melody were played on the correct musical scale. The authors sought to validate their method and to assess the effect of pitch strength on musical scale recognition in…

Mixed Methods Design Study Investigating the Use of a Music Authentic Performance Assessment Tool by High School Band Directors to Measure Student Musical Growth

ERIC Educational Resources Information Center

Beason, Christine F.

2017-01-01

This research project was designed to determine if the Model Cornerstone Assessment for Performance, Proficient level, published by the National Association for Music Education would be an appropriate tool to use to demonstrate student growth as one element of teacher evaluations, specifically the T-TESS. This study focused on four main research…

Exploring the Musical Interests and Abilities of Blind and Partially Sighted Children and Young People with Retinopathy of Prematurity

ERIC Educational Resources Information Center

Matawa, Christina

2009-01-01

This study explores the musical interests and talents of children and young people who are blind or partially sighted as a result of retinopathy of prematurity (RoP). The results from questionnaires completed by 37 parents were analysed using methods drawn from Ockelford et al.'s (2006) study of the musical interests and abilities of children with…

Music education and its effect on intellectual abilities in children: a systematic review.

PubMed

Jaschke, Artur C; Eggermont, Laura H P; Honing, Henkjan; Scherder, Erik J A

2013-01-01

Far transfer between music education and other cognitive skills, such as academic achievement, has been widely examined. However, the results of studies within similar cognitive domains are found to be inconclusive or contradictory. These differences can be traced back to the analytical methods used, differences in the forms of music education studied and differences in neural activation during the processing of these tasks. In order to gain a better picture of the relationships involved, a literature survey was performed in leading databases, such as PubMed/MedLine, psychINFO, ScienceDirect, Embase, ERIC, ASSIA and Jstor from January 2001 to January 2013. All studies included, concerned the far transfer from music education to other cognitive skills in children aged 4-13 years as compared with controls. These studies were independently selected and their quality was assessed by two authors. This systematic review shows the need to address methodological and analytical questions in greater detail. There is a general need to unify methods used in music education research. Furthermore, the hypothesis that intellectual skills, such as mathematics, reading, writing and intelligence can be divided into sub-functions, needs to be examined as one approach to the problems considered here. When this has been done, detailed analysis of cognitive transfer from music education to other disciplines should become possible.

One in the Dance: Musical Correlates of Group Synchrony in a Real-World Club Environment

PubMed Central

Ellamil, Melissa; Berson, Joshua; Wong, Jen; Buckley, Louis; Margulies, Daniel S.

2016-01-01

Previous research on interpersonal synchrony has mainly investigated small groups in isolated laboratory settings, which may not fully reflect the complex and dynamic interactions of real-life social situations. The present study expands on this by examining group synchrony across a large number of individuals in a naturalistic environment. Smartphone acceleration measures were recorded from participants during a music set in a dance club and assessed to identify how group movement synchrony covaried with various features of the music. In an evaluation of different preprocessing and analysis methods, giving more weight to front-back movement provided the most sensitive and reliable measure of group synchrony. During the club music set, group synchrony of torso movement was most strongly associated with pulsations that approximate walking rhythm (100–150 beats per minute). Songs with higher real-world play counts were also correlated with greater group synchrony. Group synchrony thus appears to be constrained by familiarity of the movement (walking action and rhythm) and of the music (song popularity). These findings from a real-world, large-scale social and musical setting can guide the development of methods for capturing and examining collective experiences in the laboratory and for effectively linking them to synchrony across people in daily life. PMID:27764167

Music-based magnetic resonance fingerprinting to improve patient comfort during MRI examinations.

PubMed

Ma, Dan; Pierre, Eric Y; Jiang, Yun; Schluchter, Mark D; Setsompop, Kawin; Gulani, Vikas; Griswold, Mark A

2016-06-01

Unpleasant acoustic noise is a drawback of almost every MRI scan. Instead of reducing acoustic noise to improve patient comfort, we propose a technique for mitigating the noise problem by producing musical sounds directly from the switching magnetic fields while simultaneously quantifying multiple important tissue properties. MP3 music files were converted to arbitrary encoding gradients, which were then used with varying flip angles and repetition times in a two- and three-dimensional magnetic resonance fingerprinting (MRF) examination. This new acquisition method, named MRF-Music, was used to quantify T1 , T2 , and proton density maps simultaneously while providing pleasing sounds to the patients. MRF-Music scans improved patient comfort significantly during MRI examinations. The T1 and T2 values measured from phantom are in good agreement with those from the standard spin echo measurements. T1 and T2 values from the brain scan are also close to previously reported values. MRF-Music sequence provides significant improvement in patient comfort compared with the MRF scan and other fast imaging techniques such as echo planar imaging and turbo spin echo scans. It is also a fast and accurate quantitative method that quantifies multiple relaxation parameters simultaneously. Magn Reson Med 75:2303-2314, 2016. © 2015 Wiley Periodicals, Inc. © 2015 Wiley Periodicals, Inc.

One in the Dance: Musical Correlates of Group Synchrony in a Real-World Club Environment.

PubMed

Ellamil, Melissa; Berson, Joshua; Wong, Jen; Buckley, Louis; Margulies, Daniel S

2016-01-01

Previous research on interpersonal synchrony has mainly investigated small groups in isolated laboratory settings, which may not fully reflect the complex and dynamic interactions of real-life social situations. The present study expands on this by examining group synchrony across a large number of individuals in a naturalistic environment. Smartphone acceleration measures were recorded from participants during a music set in a dance club and assessed to identify how group movement synchrony covaried with various features of the music. In an evaluation of different preprocessing and analysis methods, giving more weight to front-back movement provided the most sensitive and reliable measure of group synchrony. During the club music set, group synchrony of torso movement was most strongly associated with pulsations that approximate walking rhythm (100-150 beats per minute). Songs with higher real-world play counts were also correlated with greater group synchrony. Group synchrony thus appears to be constrained by familiarity of the movement (walking action and rhythm) and of the music (song popularity). These findings from a real-world, large-scale social and musical setting can guide the development of methods for capturing and examining collective experiences in the laboratory and for effectively linking them to synchrony across people in daily life.

Empirical evidence for musical syntax processing? Computer simulations reveal the contribution of auditory short-term memory

PubMed Central

Bigand, Emmanuel; Delbé, Charles; Poulin-Charronnat, Bénédicte; Leman, Marc; Tillmann, Barbara

2014-01-01

During the last decade, it has been argued that (1) music processing involves syntactic representations similar to those observed in language, and (2) that music and language share similar syntactic-like processes and neural resources. This claim is important for understanding the origin of music and language abilities and, furthermore, it has clinical implications. The Western musical system, however, is rooted in psychoacoustic properties of sound, and this is not the case for linguistic syntax. Accordingly, musical syntax processing could be parsimoniously understood as an emergent property of auditory memory rather than a property of abstract processing similar to linguistic processing. To support this view, we simulated numerous empirical studies that investigated the processing of harmonic structures, using a model based on the accumulation of sensory information in auditory memory. The simulations revealed that most of the musical syntax manipulations used with behavioral and neurophysiological methods as well as with developmental and cross-cultural approaches can be accounted for by the auditory memory model. This led us to question whether current research on musical syntax can really be compared with linguistic processing. Our simulation also raises methodological and theoretical challenges to study musical syntax while disentangling the confounded low-level sensory influences. In order to investigate syntactic abilities in music comparable to language, research should preferentially use musical material with structures that circumvent the tonal effect exerted by psychoacoustic properties of sounds. PMID:24936174

Effect of pre-task music on sports or exercise performance.

PubMed

Smirmaul, Bruno P

2017-01-01

Pre-task music is a very common strategy among sports competitors. However, as opposed to in-task music, the scientific evidence to support its ergogenic effects on either sports or exercise performance is limited. This brief review critically addresses the existing literature investigating the effects of pre-task music on sports and exercise performance, focusing on the methods and results of experimental studies, and offers basic and practical recommendations. In July 2015, a comprehensive literature search was performed in Web of Science, PubMed, and Google Scholar using the following key words in combination: "pre-task music," "pre-test music," "pre-exercise music," "exercise performance," "sports performance." The literature search was further expanded by both hand searching review articles on the topic and by searching the reference lists from the articles retrieved for any relevant references. Overall, a total of 15 studies in 14 articles were included. Pre-task music research has been unsystematic, methodologically limited and infrequent. Using this review as a starting point to overcome previous methodological limitations when designing future experiments may contribute to the development of pre-task music research, which is still in its infancy. Currently, there is no sufficient evidence to support the overall ergogenic effects of pre-task music on sports or exercise performance. Nonetheless, pre-task music has showed a likely ergogenic effect on shorter and predominantly anaerobic tasks such as grip strength, Wingate test, and short-duration sports or sports-like tasks, in contrast to longer and predominantly aerobic tasks.

Do Communication Disorders Extend to Musical Messages?: An Answer from Children with Hearing Loss or Autism Spectrum Disorders

PubMed Central

Whipple, Christina M.; Gfeller, Kate; Driscoll, Virginia; Oleson, Jacob; McGregor, Karla

2014-01-01

Background Effective musical communication requires conveyance of the intended message in a manner perceptible to the receiver. Communication disorders that impair transmitting or decoding of structural features of music (e.g., pitch, timbre) and/or symbolic representation may result in atypical musical communication, which can have a negative impact on music therapy interventions. Objective This study compared recognition of symbolic representation of emotions or movements in music by two groups of children with different communicative characteristics: severe to profound hearing loss (using cochlear implants [CI]) and autism spectrum disorder (ASD). Their responses were compared to those of children with typical-development and normal hearing (TD-NH). Accuracy was examined as a function of communicative status, emotional or movement category, and individual characteristics. Methods Participants listened to recorded musical excerpts conveying emotions or movements and matched them with labels. Measures relevant to auditory and/or language function were also gathered. Results There was no significant difference between the ASD and TD-NH groups in identification of musical emotions or movements. However, the CI group was significantly less accurate than the other two groups in identification of both emotions and movements. Mixed effects logistic regression revealed different patterns of accuracy for specific emotions as a function of group. Conclusion Conveyance of emotions or movements through music may be decoded differently by persons with different types of communication disorders. Because music is the primary therapeutic tool in music therapy sessions, clinicians should consider these differential abilities when selecting music for clinical interventions focusing on emotions or movement. PMID:25691513

Assessing the Effects of Music Listening on Psychobiological Stress in Daily Life.

PubMed

Linnemann, Alexandra; Strahler, Jana; Nater, Urs M

2017-02-02

Music listening is associated with stress-reducing effects. However, most of the results on music listening and stress were gathered in experimental settings. As music listening is a popular activity of daily life, it is of utmost importance to study the effects of music listening on psychobiological stress in an everyday, daily-life setting. Here, a study protocol is presented that allows the assessment of associations between music listening and psychobiological stress in daily life by noninvasively measuring salivary cortisol (as a marker of the Hypothalamic-Pituitary-Adrenal (HPA) axis) and salivary alpha-amylase (as a marker of the Autonomic Nervous System (ANS)). The protocol includes advice on the study design (e.g., sampling protocol), the materials and methods (e.g., the assessment of psychobiological stress in daily life, the assessment of music listening, and the manual), the selection of participants (e.g., the approval of the institutional review board and inclusion criteria), and the statistical analyses (e.g., the multilevel approach). The representative results provide evidence for a stress-reducing effect of music listening in daily life. Particularly, specific reasons for listening to music (especially relaxation), as well as the presence of others while doing so, increase this stress-reducing effect. At the same time, music listening in daily life differentially affects the HPA axis and ANS functioning, thus emphasizing the need for a multi-dimensional assessment of stress in daily life.

An Examination of a Music Appreciation Method Incorporating Tactile Sensations from Artificial Vibrations

NASA Astrophysics Data System (ADS)

Ideguchi, Tsuyoshi; Yoshida, Ryujyu; Ooshima, Keita

We examined how test subject impressions of music changed when artificial vibrations were incorporated as constituent elements of a musical composition. In this study, test subjects listened to several music samples in which different types of artificial vibration had been incorporated and then subjectively evaluated any resulting changes to their impressions of the music. The following results were obtained: i) Even if rhythm vibration is added to a silent component of a musical composition, it can effectively enhance musical fitness. This could be readily accomplished when actual sounds that had been synchronized with the vibration components were provided beforehand. ii) The music could be listened to more comfortably by adding not only a natural vibration extracted from percussion instruments but also artificial vibration as tactile stimulation according to intentional timing. Furthermore, it was found that the test subjects' impression of the music was affected by a characteristic of the artificial vibration. iii) Adding vibration to high-frequency areas can offer an effective and practical way of enhancing the appeal of a musical composition. iv) The movement sensations of sound and vibration could be experienced when the strength of the sound and vibration are modified in turn. These results suggest that the intentional application of artificial vibration could result in a sensitivity amplification factor on the part of a listener.

Auditory stimulation with music influences the geometric indices of heart rate variability in men

PubMed Central

2014-01-01

Background Chronic classical music was reported to increase parasympathetic activitywhen evaluating heart rate variability (HRV). It is poor in the literature investigation of the acute effects of baroque and heavy metal styles of musical auditory stimulation on HRV. In this study we evaluated the acute effects of relaxant baroque and excitatory heavy metal music on the geometric indices of HRV in healthy men. Method The study was performed in 12 healthy men between 18 and 30 years old. We excluded persons with previous experience with music instrument and those who had affinity with the song styles. We analyzed the following indices: RRtri, TINN and Poincaré plot (SD1, SD2 and SD1/SD2 ratio). HRV was recorded at rest for ten minutes. Subsequently they were exposed to relaxant baroque or excitatory heavy metal music for five minutes through an earphone. After the first music exposure they remained at rest for more five minutes and them they were exposed again to Baroque or Heavy Metal music (65–80 dB). The sequence of songs was randomized for each individual. Results The RRTri and SD2 indices were reduced during the heavy metal musical auditory stimulation (p < 0.05). No changes were observed regarding TINN, SD1 and SD1/SD2 ratio (p > 0.05).The qualitative Poincaré plot analysis indicated that during relaxant classical baroque music there was observed a higher beat-to-beat dispersion of RR intervals compared with no music exposure and during excitatory heavy metal musical auditory stimulation, showing higher HRV. Conclusion We suggest that excitatory heavy metal music acutely decreases global HRV. PMID:24883104

The Use of Dialectical Behavior Therapy (DBT) in Music Therapy: A Sequential Explanatory Study.

PubMed

Chwalek, Carolyn M; McKinney, Cathy H

2015-01-01

There are published examples of how dialectical behavior therapy (DBT) and music therapy are effectively being used as separate therapies in the treatment of individuals with a variety of mental health disorders. However, research examining DBT-informed music therapy is limited. The purpose of this study was to determine whether music therapists working in mental health settings are implementing components of DBT in their work, and if so, how and why; and if not, why not and what is their level of interest in such work. We used a sequential explanatory mixed-methods research design implemented in two phases. Phase 1 was a quantitative survey of board-certified music therapists (n=260). Due to a low survey response rate (18%), and to enhance the validity of the findings, Phase 2, an embedded qualitative procedure in the form of interviews with clinicians experienced in the DBT approach, was added to the study. Both survey and interviews inquired about DBT training, use of DBT-informed music therapy, music therapy experiences used to address DBT skills, and experiences of implementing DBT-informed music therapy. Respondents indicating they implement DBT-informed music therapy (38.3%) are using components and adaptations of the standard DBT protocol. Advantages of implementing DBT-informed music therapy were identified, and more than half of the respondents who do not implement DBT in their music therapy practice also perceived this work as at least somewhat important. Disadvantages were also identified and support the need for further research. Components of DBT are used in music therapy and are valued, but there is a lack of empirical evidence to inform, refine, and guide practice. © the American Music Therapy Association 2015. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.