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http://dx.doi.org/10.5391/JKIIS.2011.21.2.218

Study of Music Classification Optimized Environment and Atmosphere for Intelligent Musical Fountain System  

Park, Jun-Heong (중앙대학교 전자전기공학부)
Park, Seung-Min (중앙대학교 전자전기공학부)
Lee, Young-Hwan (중앙대학교 전자전기공학부)
Ko, Kwang-Eun (중앙대학교 전자전기공학부)
Sim, Kwee-Bo (중앙대학교 전자전기공학부)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.21, no.2, 2011 , pp. 218-223 More about this Journal
Abstract
Various research studies are underway to explore music classification by genre. Because sound professionals define the criterion of music to categorize differently each other, those classification is not easy to come up clear result. When a new genre is appeared, there is onerousness to renew the criterion of music to categorize. Therefore, music is classified by emotional adjectives, not genre. We classified music by light and shade in precedent study. In this paper, we propose the music classification system that is based on emotional adjectives to suitable search for atmosphere, and the classification criteria is three kinds; light and shade in precedent study, intense and placid, and grandeur and trivial. Variance Considered Machines that is an improved algorithm for Support Vector Machine was used as classification algorithm, and it represented 85% classification accuracy with the result that we tried to classify 525 songs.
Keywords
Intelligent Musical Fountain; Support Vector Machine; Variance Considered Machines; Emotion; Music Analysis; Music Classification;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
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