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Volumn , Issue , 2008, Pages 121-126

Vocal segment classification in popular music

Author keywords

[No Author keywords available]

Indexed keywords

ERROR CORRELATION; ERROR RATE; FEATURE DIMENSIONS; GAUSSIAN MIXTURE MODEL; GENERALIZED LINEAR MODEL; K-MEANS; MUSIC CLASSIFICATION; PARTIAL LEAST SQUARE (PLS); POPULAR MUSIC; POPULAR SONG; TEMPORAL CORRELATIONS; TEST SETS; TEST SETUPS; TIME WINDOWS; VOTING SCHEMES;

EID: 71349088259     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (20)
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  • 3
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  • 8
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    • Separation of drums from polyphonic music using non-negative matrix factorization and support vector machine
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    • Heln, M. and Virtanen, T. "Separation of Drums From Polyphonic Music Using Non-Negative Matrix Factorization and Support Vector Machine,", Proceedings of EUSIPCO, Antalya, Turkey, 2005.
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    • Heln, M.1    Virtanen, T.2
  • 9
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    • Features for audio and music classification
    • Baltimore, Maryland (USA)
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  • 10
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    • An investigation of feature models for music genre classification using the support vector classifier
    • London, UK
    • Meng, A., Shawe-Taylor J., "An Investigation of Feature Models for Music Genre Classification using the Support Vector Classifier,", Proceedings of ISMIR, London, UK, pp. 604-609, 2005.
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  • 13
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    • On the relevance of spectral features for instrument classification
    • Honolulu, Hawaii
    • Nielsen, A. B., Sigurdsson, S., Hansen, L. K., and Arenas-Garca, J. "On the relevance of spectral features for instrument classification, ", Proceedings of ICASSP, Honolulu, Hawaii, Vol. 5, pp. 485-488, 2007.
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  • 14
    • 33745209127 scopus 로고    scopus 로고
    • Automatic detection of vocal segments in popular songs
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.