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Volumn 2, Issue , 2012, Pages 250-256

Music genre classification based on dynamical models

Author keywords

Dynamical features; Genre classification; HMMs; Music retrieval

Indexed keywords

DYNAMICAL FEATURES; DYNAMICAL MODEL; GENRE CLASSIFICATION; HIDDEN MARKOV MODELS (HMMS); HMMS; MUSIC GENRE; MUSIC GENRE CLASSIFICATION; MUSIC RETRIEVAL; SHORT TERM; SUPERVISED CLASSIFICATION; TWO LAYERS;

EID: 84862187253     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (1)

References (13)
  • 2
    • 0002215069 scopus 로고
    • On a measure of divergence between two statistical populations defined by their probability distributions
    • Bhattacharyya, A. (1943). On a measure of divergence between two statistical populations defined by their probability distributions. Bull. Calcutta Math Soc.
    • (1943) Bull. Calcutta Math Soc
    • Bhattacharyya, A.1
  • 4
    • 80052532611 scopus 로고    scopus 로고
    • Music classification via the bag-of-features approach
    • 10
    • Fu, Z., Lu, G., Ting, K. M., and Zhang, D. (2011). Music classification via the bag-of-features approach. Pattern Recognition Letters, 32(14):1768(10).
    • (2011) Pattern Recognition Letters , vol.32 , Issue.14 , pp. 1768
    • Fu, Z.1    Lu, G.2    Ting, K.M.3    Zhang, D.4
  • 10
    • 0024610919 scopus 로고
    • A tutorial on hidden markov models and selected applications in speech recognition
    • Rabiner, L. R. (1989). A tutorial on hidden markov models and selected applications in speech recognition. Proceedings of the IEEE, pages 257-286.
    • (1989) Proceedings of the IEEE , pp. 257-286
    • Rabiner, L.R.1
  • 11
    • 56749117943 scopus 로고    scopus 로고
    • In defense of one-vs-all classification
    • Rifkin, R. and Klautau, A. (2004). In defense of one-vs-all classification. J. Mach. Learn. Res., 5:101-141.
    • (2004) J. Mach. Learn. Res. , vol.5 , pp. 101-141
    • Rifkin, R.1    Klautau, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.