• Phonetics and Speech Sciences
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• v.10 no.3
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• pp.19-29
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• 2018

We propose to use independent component analysis (ICA) and deep neural network (DNN) to detect music sections in broadcast drama contents. Drama contents mainly comprise silence, noise, speech, music, and mixed (speech+music) sections. The silence section is detected by signal activity detection. To detect the music section, we train noise, speech, music, and mixed models with DNN. In computer experiments, we used the MUSAN corpus for training the acoustic model, and conducted an experiment using 3 hours' worth of Korean drama contents. As the mixed section includes music signals, it was regarded as a music section. The segmentation error rate (SER) of music section detection was observed to be 19.0%. In addition, when stereo mixed signals were separated into music signals using ICA, the SER was reduced to 11.8%.

• Journal of Music and Human Behavior
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• v.9 no.2
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• pp.1-17
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• 2012

The purpose of this study was to analyze data regarding the effects of group music therapy with adolescents. 27 master's, doctorial theses and published articles between 2000 and 2012 were selected for meta analysis. Subjects, independent variables, dependent variables, and the number of session were used to compare the effectiveness of group music therapy program. 49 effect sizes using means and standard deviation from 27 studies were calculated. The results were as follows. The overall mean effect size was -0.14, which is small size effect, according to Cohen's ES interpretation criteria. The mean ES was influenced by the subjects(adolescents/maladjustment students/addictive students/students in facility), the ES of adolescents was the biggest. However there were no significant difference among subjects. During the independent variables(active music therapy/receptive music therapy/combined music therapy), combined music therapy showed the biggest efficacy. When results were sorted by the dependent variables (social/emotional/behavior/cognitive category), the ES of behavioral category was the biggest. However, there was no significant difference among them. The ES of 11~15 session was the most effective.

• Journal of Biomedical Engineering Research
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• v.29 no.4
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• pp.329-336
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• 2008

Recently, causality analysis of source time series extracted from EEG or MEG signals is becoming of great importance in human brain mapping studies and noninvasive diagnosis of various brain diseases. Two approaches have been widely used for the analyses: one is independent component analysis (ICA), and the other is multiple signal classification (MUSIC). To the best of our knowledge, however, any comparison studies to reveal the difference of the two approaches have not been reported. In the present study, we compared the performance of the two different techniques, ICA and MUSIC, especially focusing on how accurately they can estimate and separate various brain electrical signals such as linear, nonlinear, and chaotic signals without a priori knowledge. Results of the realistic simulation studies, adopting directed transfer function (DTF) and Granger causality (GC) as measures of the accurate extraction of source time series, demonstrated that the MUSIC-based approach is more reliable than the ICA-based approach.

• Phonetics and Speech Sciences
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• v.1 no.1
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• pp.63-67
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• 2009

In this paper, in order to protect music copyrights, we propose a music identification system which is scalable to the number of pieces of registered music and robust to signal-level variations of registered music. For its implementation, we define the new concepts of 'music word' and 'music phoneme' as recognition units to construct 'music acoustic models'. Then, with these concepts, we apply the HMM-based framework used in continuous speech recognition to identify the music. Each music file is transformed to a sequence of 39-dimensional vectors. This sequence of vectors is represented as ordered states with Gaussian mixtures. These ordered states are trained using Baum-Welch re-estimation method. Music files with a suspicious copyright are also transformed to a sequence of vectors. Then, the most probable music file is identified using Viterbi algorithm through the music identification network. We implemented a music identification system for 1,000 MP3 music files and tested this system with variations in terms of MP3 bit rate and music speed rate. Our proposed music identification system demonstrates robust performance to signal variations. In addition, scalability of this system is independent of the number of registered music files, since our system is based on HMM method.

• Korean Journal of Childcare and Education
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• v.16 no.5
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• pp.27-45
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• 2020

Objective: The purpose of this study is to develop a music making program that utilizes the characteristics of the picture books medium through the ADDIE model so that teachers can easily apply it to children, and to determine whether it affects children's musical aptitude and music creativity. Methods: The Participants of the study were 42 five-year-old children attending a daycare in Seoul, of which 20 were in the experimental group and 22 in the comparative group. The experimental group participated in a music production program using picture books, and during the same period, the comparison group participated in music activities suggested by the Nuri Course. Using the SPSS 22.0 program, average, standard deviation, independent sampling t-test, and ANCOVA(Analysis of Covariance) were calculated. Results: The music making program using picture books improved children's rhythm and tone which are the sub-items of music aptitude. The music making program enhanced children's music flexibility, music creativity, music logic which are the sub-items of music creativity. Conclusion/Implications: The music making program presented systemic teaching-learning method with which teachers explained the modeling and practiced from simple activities to various activities repeatedly in order to make teachers approach music making more easily. It is recommendable to make the music making program by using I-pad and computers.

• Journal of Information Technology Services
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• v.14 no.4
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• pp.199-220
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• 2015

Recently, many internet users are using mobile music service. In this paper, we aim to examine the effects of system quality factors and relation quality factors on continuance intention in the context of mobile music service. In order to analyze the antecedents of continuance intention, we introduced independent variables such as ease of use, stability, trust, involvement and unity. We also consider customer value and customer satisfaction as mediators. For empirical analysis, we surveyed 240 users of mobile music service. We conduct PLS (Partial Least Square) analysis for SEM (Structural Equation Modeling). As a result, 8 of proposed 12 hypotheses were accepted. Especially, system quality, trust and unity show positive influence on customer satisfaction significantly. Involvement and unity are positively related to customer value. Customer value and customer satisfaction show positive influence on continuance intention significantly. The results of this research can be useful guidelines for mobile music service users and providers.

• Asia Marketing Journal
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• v.16 no.4
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• pp.1-18
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• 2015

Assuming that not all background music in advertising function as effective retrieval cues for the advertised messages, this study proposes that we should be able to distinguish the retrieval cue effect of music from the simple ad exposure effect. This study tries to identify which specific characteristics of music are related to the retrieval cue effect. Our experiment focuses on congruency and familiarity of music as key characteristics of music which affect the effectiveness of the music's role as a retrieval cue for the advertised messages. We used four groups of subjects to test the retrieval cue effect of the background music. Each group was exposed to one of the four different types of background music and was again sub-divided into an experimental and a control group (i.e., a total of eight independent sub-groups were included in the experiment.) The first two sub-groups were exposed to the experimental advertisement with the background music of high congruency and high familiarity. After the ad exposure, the background music was provided as a retrieval cue to only one of the two sub-groups. Comparison of the memory performance between the two sub-groups will reveal the net retrieval cue effect of the music of high congruency and high familiarity. Similarly, another two sub-groups watched the same ad but with the background music of high congruency and low familiarity. Also the same ad but with the music of low congruency/ high familiarity was shown to another two sub-groups and that of low congruency and low familiarity music was to another two. Among the two sub-groups with the same music, only one group had the music cue at the memory tasks. One hundred and seventy four undergraduate students at the college of one of authors in Asia participated in the study. Their ages ranged from 18 to 24 with a median of 20. The sample was composed of 51.7 percent male subjects. They were randomly assigned to each of the eight sub-group. The results show that the music highly congruent with the advertised message facilitates the message retrieval, while the low congruency music cue does not. It was also found that the low familiarity music cue improves memory performance only when the music is perceived as congruent with the advertised message. From a theoretical and practical perspective, this study provides boundary conditions for effective retrieval and suggests that the congruent music specifically created for the ad is a more effective retrieval cue than other types of music cues.

• The Journal of the Korea Contents Association
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• v.16 no.8
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• pp.484-492
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• 2016

Role of music in an image can be divided into a supplementary function to express narrative of image and an independent function to become the subject of music and to lead the image. To perceive sound through hearing and then, to make it visualized is called visual music. Since the 19th century, image synchronization of music through colored hearing has been continuously attempted by artists in their works. Also in the 20th century, many artists could attempt time-wise concept of movement passing the bounds of three-dimensional expression due to development of cinema. In such a process, artists with strong experimental spirits inferred correlation between sound and image and then, pioneered new genre of visual music. As a result, the times are being changed from those of listening to those of watching, and various works are being produced by experimental attempt of various music and images. This thesis aims to investigate aesthetic characteristics of modern visual music and then, to conduct comparative analysis on how visual music using colors are utilized in diversified fields such as movie, animation, music video and media art.

• Design Convergence Study
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• v.14 no.4
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• pp.277-292
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• 2015

Recently, as TV home shopping has entered into the stage of stability, competition between the same lines of business has become more intense. Thus, this research goals have been determined in order to analyze the purchase intent of customers related with the genre and tempo of background music of TV home shopping by different types of products. In order to achieve the research goals, thorough research on related literatures have been conducted and found out about the background music. Furthermore, the characteristics of background music of actual TV home shopping broadcasting have been analyzed, focusing on the genre and tempo of the music. In addition, a survey has been conducted in order to verify what kind of music genre and tempo of the background music has an influence on the highest purchase intent of the chosen three products(sportswear, household appliances, fresh and processed foods). This study investigated the influence of background music of TV home shopping in relation to the purchase intent of customers. Also, this study has significance in the sense that it analyzed the causal relationship between the background music of home shopping and reactions of customers by categorizing products in details and using the music genre and tempo as the independent variables that affect the purchase intent of customers.

• Journal of the Korean Society of Physical Medicine
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• v.8 no.4
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• pp.593-600
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• 2013

PURPOSE: We investigated the relationship between personality, music type and MVIC, power for the knee extensor on inducing muscle fatigue. METHODS: The subjects of this study were 22 healthy students. MVIC(Maximum Voluntary Isometric Contraction) and power in knee extension was measured by PRIMUS RS. Personality types was measured by MBTI(Myers-Briggs Type Indicator) that is an instrument designed to provide descriptive profiles of personality types and preferences. The collected data were analyzed using the independent t-test, MANOVA and Pearson-test. RESULTS: There was no significant differences both MVIC and power of the knee extensor according to personality and music type. The power was significantly increased by increasing the MVIC during a knee extension on inducing muscle fatigue without music type(r= .786~.896). There was no significant correlation both MVIC and power of the knee extensor according to personality. CONCLUSION: There was a positive correlation between power and MVIC during a knee extension on inducing muscle fatigue without music type. There was no significant correlation both MVIC and power of the knee extensor according to personality.