메뉴 건너뛰기




Volumn , Issue , 2009, Pages 143-148

Shape-based spectral contrast descriptor

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER PROGRAMMING;

EID: 84855315385     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (14)

References (16)
  • 1
    • 2942747947 scopus 로고    scopus 로고
    • Representing musical genre: A state of the art
    • J. Aucouturier and F. Pachet. Representing musical genre: A state of the art. Journal of New Music Research, 32(1):83-93, 2003.
    • (2003) Journal of New Music Research , vol.32 , Issue.1 , pp. 83-93
    • Aucouturier, J.1    Pachet, F.2
  • 3
    • 64649105397 scopus 로고    scopus 로고
    • Content-based music information retrieval: Current directions and future challenges
    • April
    • M.A. Casey, R. Veltkamp, M. Goto, M. Leman, C. Rhodes, and M. Slaney. Content-based music information retrieval: Current directions and future challenges. In Proceedings of the IEEE, volume 96, pages 668-696, April 2008. 3 http://www.pharos-audiovisual-search.eu
    • (2008) Proceedings of the IEEE , vol.96 , pp. 668-696
    • Casey, M.A.1    Veltkamp, R.2    Goto, M.3    Leman, M.4    Rhodes, C.5    Slaney, M.6
  • 4
    • 0027684995 scopus 로고
    • Signal compression based on models of human perception
    • N. Jayant, J. Johnston, and R. Safranek. Signal compression based on models of human perception. In Proceedings of the IEEE, volume 81, pages 1385-1422, 1993.
    • (1993) Proceedings of the IEEE , vol.81 , pp. 1385-1422
    • Jayant, N.1    Johnston, J.2    Safranek, R.3
  • 9
    • 45549104630 scopus 로고    scopus 로고
    • Automatic speech recognition: History, methods and challenges
    • D.D. O'Shaughnessy. Automatic speech recognition: History, methods and challenges. Pattern Recognition, 41(10):2965-2979, 2008.
    • (2008) Pattern Recognition , vol.41 , Issue.10 , pp. 2965-2979
    • O'Shaughnessy, D.D.1
  • 11
    • 85032752479 scopus 로고    scopus 로고
    • Automatic genre classification of music content: A survey
    • March
    • N. Scaringella, G. Zoia, and D. Mlynek. Automatic genre classification of music content: a survey. IEEE Signal Processing Magazine, 23(2):133-141, March 2006.
    • (2006) IEEE Signal Processing Magazine , vol.23 , Issue.2 , pp. 133-141
    • Scaringella, N.1    Zoia, G.2    Mlynek, D.3
  • 14
    • 33750136404 scopus 로고    scopus 로고
    • Features and classifiers for the automatic classification of musical audio signals
    • K. West and S. Cox. Features and classifiers for the automatic classification of musical audio signals. In Proceedings of the ISMIR conference, page 531, 2004.
    • (2004) Proceedings of the ISMIR Conference , pp. 531
    • West, K.1    Cox, S.2
  • 16
    • 0037211147 scopus 로고    scopus 로고
    • Spectral contrast enhancement: Algorithms and comparisons
    • J. Yang, F. Luo, and A. Nehorai. Spectral contrast enhancement: algorithms and comparisons. Speech Communication, 39(1-2):33-46, 2003.
    • (2003) Speech Communication , vol.39 , Issue.1-2 , pp. 33-46
    • Yang, J.1    Luo, F.2    Nehorai, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.