• 한국HCI학회:학술대회논문집
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• 2006.02a
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• pp.400-405
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• 2006

In this paper, we present effective methods for music summarization which summarize music automatically. It could be used for sample music of on-line digital music provider or some music retrieval technology. When summarizing music, we use different two methods according to music length. First method is for finding sabi or chorus part of music which can be regarded as the most important part of music and the second method is for extracting several parts which are in different structure or have different mood in the music. Our proposed music summarization system is better than conventional system when structure of target music is explicit. The proposed method could generate just one important segment of music or several segments which have different mood in the music. Thus, this scheme will be effective for summarizing music in several applications such as online music streaming service and sample music for Tcommerce.

• The Journal of the Acoustical Society of Korea
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• v.40 no.4
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• pp.290-296
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• 2021

The purpose of this study was to examine the perceived emotion of music according to cognitive styles of music listening. A total of 91 music-related graduate students participated in this study. They were given a questionnaire about perceived emotions of music, musical elements, and Music Empathizing-Music Systemizing Inventory. To analyze statistically, Descriptive statistics, paired t-test, ANalysis Of VAriance (ANOVA), multi-variate analysis, and Pearson correlation analysis were conducted. Results showed that participants had relatively universal experience in perceived emotions of both types of music, and also showed that musical elements contributed to the experience differed by cognitive styles of music listening.

• The Journal of the Acoustical Society of Korea
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• v.26 no.3E
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• pp.69-73
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• 2007

This paper presents an efficient algorithm to retrieve similar music files from a large archive of digital music database. Users are able to navigate and discover new music files which sound similar to a given query music file by searching for the archive. Since most of the methods for finding similar music files from a large database requires on computing the distance between a given query music file and every music file in the database, they are very time-consuming procedures. By measuring the acoustic distance between the pre-classified music files with the same type of emotion, the proposed method significantly speeds up the search process and increases the precision in comparison with the brute-force method.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.6
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• pp.1170-1175
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• 2007

This paper presents techniques to recognize music using back propagation network one of the neural network algorithms, and to preprocess technique for music mage. Music symbols and music notes are segmented by preprocessing such as binarization, slope correction, staff line removing, etc. Segmented music symbols and music notes are recognized by music note recognizing network and non-music note recognizing network. We proved correctness of proposed music recognition algorithm though experiments and analysis with various kind of musics.

• Journal of the Korean Home Economics Association
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• v.44 no.9
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• pp.9-19
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• 2006

The purpose of this study was to investigate the relationships among early childhood teachers' attitudes toward music education, music teaching practice, and music teaching efficacy. A total of 255 early childhood teachers participated in the study and data were analyzed through frequency, percentile, mean, standard deviation, t-test, and Pearson's correlation. The results of this study indicated that early childhood teachers' music teaching efficacy, attitudes toward music education and music teaching practice were influenced mainly by the teacher's own educational level. They also showed that early childhood teachers' music teaching efficacy, attitudes toward music education, and music teaching practice were correlated with one another. In conclusion, the early child teachers' sense of music teaching efficacy turned out to be a very important factor in early childhood teachers' music education.

• Journal of Digital Convergence
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• v.13 no.1
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• pp.429-438
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• 2015

The copyrights of music in Korea have been placed under the supervision of the associations which the government approved as a trusteeship. Since the industry of music in Korea has been changed from phonographic industry to on-line music service, it is required increasingly that the rights and interests of music should been protected. Korea government has been announced the amendment for levy of music royalties through on-line service according to the changes in the music industry and industries' demand. In this paper, the corporate structures in music industry has been investigated from the point of owner of copyright, recently at the heart of the debate, flat rate system and usage-based pricing in on-line music market has been compared. Consequently, the reasonable prices of music service through on-line market are not earmarked in reality for both consumers and copyright proprietors. Therefore, it is still necessary to improve the institutional.

• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.281-293
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• 2021

The purpose of this study is to analyze how Corona daily life has changed the music listeners' music listening experience and what meaning the music listeners are discovering in their music listening experience. This study considered the sociology of music, and music as a medium of perception and consciousness from a theoretical perspective. After that, the purpose of this study was to extract the meaning of subjective interpretations of music listening tendencies and music listening experiences for college students who took music-related classes from 20 to 24 years old. The research methods were written interview and free discussion analysis. As a result of the study, 76% of those interviewed in writing answered that their tendency to select music in daily life had changed. The main reasons were: First, finding a utopia in 'home' with music, second, finding and listening to new music with increasing time, third, getting out of 'corona blue' with music. College students were discovering new meanings in physical isolation through listening to music. They were discovering the meaning of 'self-healing' in listening to music, and they were changing the direction of their desired consciousness and emotions through music.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.8 no.4
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• pp.275-280
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• 2015

In this paper, we studied for modified MUSIC algorithm of direction of arrival (DOA)estimation. Modified MUSIC algorithm search optimal covariance matrix using singular value decomposition and Bayes method, and desired signals are estimated by updating weight. In order to estimation of desired signals, we used sub spatial method of MUSIC algorithm. General MUSIC algorithm can estimate a desired signal in case of non-correlation signal. But, general MUSIC algorithm in case of correlation signal can not estimate a desired signals and resolution is decreased. Though simulation in case of correlation signal, we analyze to compare proposed MUSIC algorithm with general MUSIC algorithm.

• Journal of Korea Game Society
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• v.20 no.2
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• pp.75-90
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• 2020

The purpose of this study is to identify the functional role of music, which is one of the main elements that make up PC games. To this end, theme music by genre of PC game was divided through analysis and then the relationship between variables was analyzed by visually positioning the distance between 'music type', 'structural element of music' and 'image' using multiple correspondence matching analysis. As a result, it was confirmed that there was a difference in location between the types of music by game genre, the structural elements of music, and the characteristics of the image.

• The Journal of the Acoustical Society of Korea
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• v.22 no.4E
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• pp.141-149
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• 2003

As music of digital form has been widely used, many people have been interested in the automatic extraction of natural information of music itself, such as key of a music, chord progression, melody progression, tempo, etc. Although some studies have been tried, consistent and reliable results of musical information extraction had not been achieved. In this paper, we propose a method to extract chord and tempo information from general polyphonic music signals. Chord can be expressed by combination of some musical notes and those notes also consist of some frequency components individually. Thus, it is necessary to analyze the frequency components included in musical signal for the extraction of chord information. In this study, we utilize a sinusoidal modeling, which uses sinusoids corresponding to frequencies of musical tones, and show reliable chord extraction results of sinusoidal modeling. We could also find that the tempo of music, which is the one of remarkable feature of music signal, interactively supports the chord extraction idea, if used together. The proposed scheme of musical feature extraction is able to be used in many application fields, such as digital music services using queries of musical features, the operation of music database, and music players mounting chord displaying function, etc.