• Proceedings of the Korea Contents Association Conference
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• 2014.11a
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• pp.93-94
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• 2014

본 논문은 음악과 감성에 대한 논문이며 다양한 인간의 감성 중 어두운 감성에 대한 연구이다. 이에 따른 가사에 대한 감성표현과 음악적 요소를 활용한 감성표현의 효과적인 방법에 대해 연구하였으며, 어두운 감성을 표현하기 위하여 다양한 요소들이 발견되었다.

• The KIPS Transactions:PartB
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• v.17B no.1
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• pp.23-30
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• 2010

The 50th anniversary of life as popular a female singer Lee Mi-Ja & Pati Kim in this paper analyzed out their musical characteristics to apply the analysis method of the Sasang constitution. From this, we are applied appearance & manner of speaking's method to classify the constitution through the face and voice features in the Sasang constitution classification method. Therefore, we are quantitatively analyzed out result of the Sasang constitution classification through voice and face of the visual comparison of the same ages by technological application of appearance & manner of speaking 's method. Also, experiment results also are applied to Lee Mi-Ja & Pati Kim and the same experiment to confirm that the result based on the two female singers analyzed their musical characteristics through comparison and analysis to face shape and the features of a tone based on the Sasang constitution about two female singers.

• International Journal of Contents
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• v.10 no.2
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• pp.1-8
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• 2014

This paper discusses designing an interdisciplinary learning environment to promote learning of the liberal arts for advanced music students in order to expand the boundaries of their education experience beyond the technical mastery of their musical instruments. The paper discusses the utilization of salient features of information, communications, and technology and the use of instructional theory to promote the understanding of how individual pieces of music can be connected to knowledge of the context in which they were created to support the understanding of the relationship between experience in the world and musical composition.

• Journal of IKEEE
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• v.13 no.2
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• pp.159-166
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• 2009

So far, many researches have been done to retrieve music information using static classification descriptors such as genre and mood. Since static classification descriptors are based on diverse content-based musical features, they are effective in retrieving similar music in terms of such features. However, human emotion or mood transition triggered by music enables more effective and sophisticated query in music retrieval. So far, few works have been done to evaluate the effect of human mood transition by music. Using formal representation of such mood transitions, we can provide personalized service more effectively in the new applications such as music recommendation. In this paper, we first propose our Emotion State Transition Model (ESTM) for describing human mood transition by music and then describe a music classification and recommendation scheme based on the ESTM. In the experiment, diverse content-based features were extracted from music clips, dimensionally reduced by NMF (Non-negative Matrix Factorization, and classified by SVM (Support Vector Machine). In the performance analysis, we achieved average accuracy 67.54% and maximum accuracy 87.78%.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.12
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• pp.238-244
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• 2013

For musical genre classification, various types of feature vectors are utilized. Mel-frequency cepstral coefficient (MFCC), decorrelated filter bank (DFB), and octave-based spectral contrast (OSC) are widely used as short-term features, and their long-term variations are also utilized. In this paper, OSC features are extracted not only in the single-octave band domain, but also in the multiple-octave band one to capture the correlation between octave bands. As a baseline system, we select the genre classification system that won the fourth place in the 2012 music information retrieval evaluation exchange (MIREX) contest. By applying the OSC features based on multiple-octave bands, we obtain the better classification accuracy by 0.40% and 3.15% for the GTZAN and Ballroom databases, respectively.

• Journal of Music and Human Behavior
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• v.9 no.2
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• pp.53-67
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• 2012

Improvisational music therapy is known to promote social engagement in children with autism. This study investigated salient features that characterize the engagement of the child with autism and the therapist in improvisational music therapy. Through video analysis of the children's behavior, this study sets out to investigate what engages children with autism into mutual play with the therapist in improvisational music therapy by measuring the shared musical elements between the child and the therapist during musical synchronicity episodes and the children's choice of instruments. A repeated measures, a crossover design was employed in two different conditions (n = 10). Children were randomly assigned into two groups; group 1 participated music therapy first, followed by play therapy second. Group 2 followed the reverse order. Specific target behaviors were analyzed in the selected sessions 1, 4, 8 and 12. As expected, improvisational music therapy produced markedly more and longer events of musical synchronicity in children with autism than the play sessions with toys (p < .001). Rhythm and dynamic appeared to be the two most salient elements during musical synchronicity events between the child and the therapist. Observational findings confirmed that horns and whistles were the most frequently selected instruments in music therapy, whereas a dollhouse set was in play therapy by children with autism. The clinical implications and the details of these findings are discussed further.

• Journal of Broadcast Engineering
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• v.18 no.5
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• pp.713-721
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• 2013

This paper describes an efficiency of chroma based tonal features for speech emotion recognition. As the tonality caused by major or minor keys affects to the perception of musical mood, so the speech tonality affects the perception of the emotional states of spoken utterances. In order to justify this assertion with respect to tonality and emotion, subjective hearing tests are carried out by using synthesized signals generated from chroma features, and consequently show that the tonality contributes especially to the perception of the negative emotion such as anger and sad. In automatic emotion recognition tests, the modified chroma-based tonal features are shown to produce noticeable improvement of accuracy when they are supplemented to the conventional log-frequency power coefficient (LFPC)-based spectral features.

• (The) Research of the performance art and culture
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• no.36
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• pp.75-102
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• 2018

Manjungpan Chunhyangga is established by Manjung Kim Sohee. She selectively chose and arranged the songs by Jung Jungryeol, Song Mangap, Jung Eungmin, Kim Yeonsoo, Park Dongsil, and Jung Kwangsil. Kim Sohee once stated that while a major section of Chunhyangga is based on the songs by Jung Jungryeol, Song Mangap, Jung Eungmin, and Kim Yeonsoo, the whole part of Okjungga is derived from Park Dongsil. However, there is not much material that will provide enough information with regard to what musical characteristics Park Dongsilje Chunhyangga possessed. Under the circumstances, the voice of Park Dongsilje, left by Kim Sohee, triggers curiosity on Park Dongsilje Chunhyangga. It can also be construed that there must be a good reason for choosing Park Dongsilje for Okjungga, unlike other parts. Therefore, this paper attempted to find out what the unique features of Par Dongsilje are and what the reasons behind Kim Sohee's musical choice were through comparison and analysis of Kim Sohee's musical features in Okjungga. The following are the results. Firstly, Okjungga is a created verse by its nature and it does not possess specific features to a school. Therefore, the reason for choosing Park Dongsilje could have been based on musical reason rather than verse. Secondly, the lyrics of Park Dongsilje Okjungga is closer to that of Song Mangap rather than that of Jung Jungryeolje. It can be argued that it falls between the two of them. Thirdly, the tone and melody of Park Dongsilje Okjungga falls in the middle section of Dongpyenje and Supyenje. Fourthly, the analysis of Jinyangjo rhythm out of the whole Manjungpan Chunhyangga shows that there are slight differences among Song Mangapje, Jung Jungryeolje, and Jung Eungminje. Park Dongsilje is very unique in the sense that it does not use utbutim in gyemyeonjo part in Manjungpan Chunhyangga. Park Dongsilje Okjungga is a song to which the tone, melody, and sigimsae of Supyeonje is added to lyric butimsae of Dongpyeonje. It can be seemed as simple and less sophisticated because, with its simple lyric butimsae, it shows a less complicated tone utilization rather than Jung Jungryeol. With lighter decoration of music, feelings can be conveyed more directly. That is probably why Kim Sohee commented on Park Dongsilje Chunhyangga that it is the most mournful song for Chunhyang and it is the song that moves anyone who listens to the song. Consequently, Kim Sohee accepted Park Dongsilje Okjungga and she created different feelings to Manjungpan Chunhyangga which has repeatedly displayed the color of Jung Jungryeol. Combining the lyric addition of Dongpyeon style and the melody of Supyeon style can crated a different language.

• The Research Journal of the Costume Culture
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• v.19 no.3
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• pp.579-596
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• 2011

As a sport with artistic characteristics, figure skating draws upon important elements such as costumes, music, melody interpretation, and choreography. The combination of figure skating music and costume is an important influence on scoring, moreover, it forms some images and characteristics of the athlete. The purpose of this study is to consider and analyze the correlation between figure skating music and costumes. The study mostly focuses on the main international competitions from 2008 to 2010, such as the Winter World Figure Skating Championships, Four Continents Figure Skating Championships, Grand Prix of Figure Skating Final and gala shows of a single female and male and female pairs, ice dances of the medalists. The concepts and characteristics of figure skating music were examined collected the literature quotes internet sites, photos and video, clips through the homepage and internet sites. Focusing on the medalists of the main international competitions from 2008 to 2010, following the analysis results of figure skating by genre of music, the differences among classical music, pop music, movie music, musical music, folk music have been classified, and according to the features of music genres, the differences of items, colors, details and accessories of clothing were brought out. Depending on the features of music genres, figure skating costumes have been changed of items, colors, materials, details and accessories. Thus, the close correlation between the story of figure skating music and atmosphere has been analyzed. This study contributes to improve the completion of programs which is completed through the development of figure skating costumes design that is regarded specially for the artistic value.

• Journal of Korea Multimedia Society
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• v.9 no.3
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• pp.279-286
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• 2006

Classification method used in this paper is applied for the first time to Korean traditional music. Among the frequency distribution vectors, average peak value is suggested and proved effective comparing to previous classification success rate. Mean, variance, spectral centroid, average peak value and ZCR are used to classify Korean traditional musical instruments. To achieve Korean traditional instruments automatic classification, Spectral analysis is used. For the spectral domain, Various functions are introduced to extract features from the data files. k-NN classification algorithm is applied to experiments. Taegum, gayagum and violin are classified in accuracy of 94.44% which is higher than previous success rate 87%.