• 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.

• Women's Health Nursing
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• v.11 no.4
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• pp.273-279
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• 2005

Purpose: The purposes of this pilot study were to describe the perceived effectiveness of music therapy for pain control and to identify music preference for postoperative pain and anxiety control in Korean women who had a gynecological surgery. Sample: A convenience sample of 52 women was recruited from a gynecological unit at P University hospital and they were interviewed to assess their perception of music therapy and music preference using a structured study questionnaire. Results: Fifty-six percent of women reported that music therapy would be effective and 96% perceived it would be effective if combined with analgesics. The best music chosen for relieving postoperative pain and anxiety were Korean old pop and ballad song/music followed by Korean religious music, American pop songs, piano music, Korean classic songs, and Orchestra music. Conclusion: There was a cultural difference in music preference for the relief of post-operative pain in this sample. Therefore, effects of music for postoperative pain control need to be determined after considering musical preferences of postoperative women in Korea.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.19 no.2
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• pp.345-353
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• 1994

This paper proposes a high resolution direction finding method, which is so called the 'averaged MUSIC'. This method uses a new sample array covariance matrix that consists of diagonal components obtained by taking averages of the diagonal component values of the sample covariance matrix for the MUSIC. This paper also shows that the proposed method performs higher resolced direction-of-arrival estimation than the MUSIC in such cases as low signal-to-noise ratio, closed signal sources, and limited number of sensors, based on the statistical analysis.

• Proceedings of the Acoustical Society of Korea Conference
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• 1993.06a
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• pp.206-209
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• 1993

The main purpose of this paper is to verify the effectiveness of a high resolution direction finding method, so called the‘averaged MUSIC’. This method uses a new sample array covariance matrix that consists of diagonal components obtained by taking averages of the diagonal component values of the sample covariance matrix for the MUSIC. The paper shows that the proposed method performs higher resolved direction-of-arrival estimation and better resolution probability than the MUSIC in such cases as low signal-to-noise ratio, when the number of sensors used is finite, based on the statistical analysis.

• Journal of Digital Contents Society
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• v.13 no.2
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• pp.177-187
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• 2012

This research considers growth of digital music industry and the consequential changes in the environment of music consumption, and how environment of purchasing digital music has influenced music's length and forms. Meaningful data such as average length of music, average time taken to chorus, appearance of intro, interlude, outro, and precedence of chorus has been collected from K-Pop of 2000 to 2011 through this research. Result has shown music sample streaming service in internet music industry has brought changes in music's length and formation, which leaded to birth of hook songs. Through this case of consumer's environmental influence on music, research predicts music industry will look forward to achieving techniques to deliver music more effectively by adopting the content's download-based internet environment.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.4
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• pp.1869-1886
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• 2018

This paper proposes a MIDI- and audio-based music genre classification method for Korean traditional music. There are many traditional instruments in Korea, and most of the traditional songs played using the instruments have similar patterns and rhythms. Although music information processing such as music genre classification and audio melody extraction have been studied, most studies have focused on pop, jazz, rock, and other universal genres. There are few studies on Korean traditional music because of the lack of datasets. This paper analyzes raw audio and MIDI phrases in Korean traditional music, performed using Korean traditional musical instruments. The classified samples and MIDI, based on our classification system, will be used to construct a database or to implement our Kontakt-based instrument library. Thus, we can construct a management system for a Korean traditional music library using this classification system. Appropriate feature sets for raw audio and MIDI phrases are proposed and the classification results-based on machine learning algorithms such as support vector machine, multi-layer perception, decision tree, and random forest-are outlined in this paper.

• Journal of Information Technology Applications and Management
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• v.24 no.3
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• pp.63-72
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• 2017

The purpose of this study is to investigate the relationship between application attractiveness and loyalty to mobile music applications. The application attractiveness is operationalized into four dimensions: richness of music contents, music app design quality, music app functionality, and promotion. The hypotheses are postulated and tested using a sample of 370 student respondents from Henan Polytechnic University and Henan Institute of Technology, China. The result shows that there is a positive correlation between loyalty and three application attractiveness aspects: richness of music contents, music app design quality and music app functionality. Based on the results of this study, the research put forward constructive suggestions about improving mobile music application loyalty. Finally, several conclusions, managerial suggestions, limitations and future research are proposed.

• Journal of Information Processing Systems
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• v.13 no.5
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• pp.1213-1228
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• 2017

The pitch tracking of music has been researched for several decades. Several possible improvements are available for creating a good t-distribution, using the instantaneous robust algorithm for pitch tracking framework to perfectly detect pitch. This article shows how to detect the pitch of music utilizing an improved detection method which applies a statistical method; this approach uses a pitch track, or a sequence of frequency bin numbers. This sequence is used to create an index that offers useful features for comparing similar songs. The pitch frequency spectrum is extracted using a modified instantaneous robust algorithm for pitch tracking (IRAPT) as a base combined with the statistical method. The pitch detection algorithm was implemented, and the percentage of performance matching in Thai classical music was assessed in order to test the accuracy of the algorithm. We used the longest common subsequence to compare the similarities in pitch sequence alignments in the music. The experimental results of this research show that the accuracy of retrieval of Thai classical music using the t-distribution of instantaneous robust algorithm for pitch tracking (t-IRAPT) is 99.01%, and is in the top five ranking, with the shortest query sample being five seconds long.

• Journal of Music and Human Behavior
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• v.14 no.2
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• pp.45-70
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• 2017

The purpose of this study was to validate the Korean version of RESPECT-Music, which measures personal, social and cultural function of music, and to examine the correlation between the measured RESPECT data and the data measured from other scales for emotions. A survey was conducted with two separate groups of undergraduate students. Exploratory factor analysis with sample A (N=212) and confirmatory factor analysis and correlation analyses with sample B (N=296) were conducted. The result of exploratory factor analysis generated 10 factors as influential factors in music use, which was the similar results to the original scale: background, values, focus, dancing, family bonding, cultural identity, political attitudes, venting, emotional expression and social bonding. In the confirmatory factor analysis, this 35-item measurement was found to obtain adequate internal consistency and reliability. In addition, the correlations were found with other scales measuring emotional adjustment. Specifically, RESPECT showed a positive correlation with scales for positive affect, reappraisal, negative mood regulation and repair. Among the generated factors as music function, dancing was highly correlated with emotional adjustment, while political attitudes was negatively correlated with emotional adjustment. The results indicate that music use in our everyday lives is intercorrelated with the intrapersonal and interpersonal motives and emotional adjustment, while the function of music that influences cultural identity was not associated with the level of emotional adjustment. Implications for future studies were also suggested.

• Communications for Statistical Applications and Methods
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• v.19 no.3
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• pp.315-331
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• 2012

In this research, we estimated the number of hits per song and its sampling error from 11 (areas including Gangnam) based on log data compiling the number of hits collected from offline karaoke players in March 2011. Then, we calculated the monetary equivalent of the sampling error under the current system that distribute royalties from the karaoke players to copyright holders(song writers and arrangers) according to the estimated hits. Because of the small sample size, the estimated number of hits had a very large sampling error. This research proposes a more reasonable sample design to estimate the usage of copyrighted music works for a fair distribution of royalties by reducing sampling error.