메뉴 건너뛰기




Volumn 2, Issue , 2007, Pages 729-732

Semi-supervised music genre classification

Author keywords

Music genre classification; Semi supervised learning

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); DATA STRUCTURES; PATTERN RECOGNITION;

EID: 34547512320     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2007.366339     Document Type: Conference Paper
Times cited : (4)

References (16)
  • 1
    • 1542439119 scopus 로고    scopus 로고
    • A comparative study on content-based music genre classification
    • T. Li, M. Ogihara, and Q. Li, "A comparative study on content-based music genre classification," in SIGIR, 2003, pp. 282-289.
    • (2003) SIGIR , pp. 282-289
    • Li, T.1    Ogihara, M.2    Li, Q.3
  • 2
    • 85032752479 scopus 로고    scopus 로고
    • Automatic genre classification of music content: A survey
    • N. Scaringella, G. Zoia, and D. Mlynek, "Automatic genre classification of music content: A survey," IEEE Signal Processing Magazine, vol. 23, no. 2, pp. 133 -141, 2006.
    • (2006) IEEE Signal Processing Magazine , vol.23 , Issue.2 , pp. 133-141
    • Scaringella, N.1    Zoia, G.2    Mlynek, D.3
  • 4
    • 0038376759 scopus 로고    scopus 로고
    • Content-based organization and visualization of music archives
    • E. Pampalk, A. Rauber, and D. Merkl, "Content-based organization and visualization of music archives," in ACM Multimedia, 2002, pp. 570-579.
    • (2002) ACM Multimedia , pp. 570-579
    • Pampalk, E.1    Rauber, A.2    Merkl, D.3
  • 5
    • 23944456976 scopus 로고    scopus 로고
    • Exploring music collections by browsing different views
    • E. Pampalk, S. Dixon, and G. Widmer, "Exploring music collections by browsing different views," in ISMIR, 2003, pp. 201-208.
    • (2003) ISMIR , pp. 201-208
    • Pampalk, E.1    Dixon, S.2    Widmer, G.3
  • 6
    • 33744781081 scopus 로고    scopus 로고
    • A matlab toolbox to compute similarity from audio
    • E. Pampalk, "A matlab toolbox to compute similarity from audio," in ISMIR, 2004.
    • (2004) ISMIR
    • Pampalk, E.1
  • 7
    • 0008794212 scopus 로고    scopus 로고
    • A music similarity function based on signal analysis
    • B. Logan and A. Salomon, "A music similarity function based on signal analysis," in ICME, 2001, pp. 22-25.
    • (2001) ICME , pp. 22-25
    • Logan, B.1    Salomon, A.2
  • 8
    • 34547516027 scopus 로고    scopus 로고
    • Music similarity measures: What's the use?
    • J.-J. Aucouturier and F. Pachet, "Music similarity measures: What's the use?," in ISMIR, 2002, pp. 13-17.
    • (2002) ISMIR , pp. 13-17
    • Aucouturier, J.-J.1    Pachet, F.2
  • 10
    • 33745456231 scopus 로고    scopus 로고
    • Semi-supervised learning literature survey
    • Tech. Rep. 1530, Computer Sciences, University of Wisconsin-Madison
    • X. Zhu, "Semi-supervised learning literature survey," Tech. Rep. 1530, Computer Sciences, University of Wisconsin-Madison.
    • Zhu, X.1
  • 13
    • 1942484430 scopus 로고    scopus 로고
    • Semisupervised learning using Gaussian fields and harmonic functions
    • X. Zhu, Z. Ghahramani, and J. Lafferty, "Semisupervised learning using Gaussian fields and harmonic functions," in Proc. ICML, 2003, pp. 912-919.
    • (2003) Proc. ICML , pp. 912-919
    • Zhu, X.1    Ghahramani, Z.2    Lafferty, J.3
  • 16
    • 34547433013 scopus 로고    scopus 로고
    • ISMIR audio description contest
    • "ISMIR audio description contest," http://ismir2004.ismir.net/ genre_contest/index.htm, 2004.
    • (2004)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.