메뉴 건너뛰기




Volumn 13, Issue 2, 2012, Pages 59-63

Exploring different approaches for music genre classification

Author keywords

20Music genre classification; Entropy; Fractals; SVMs; Wavelets

Indexed keywords

ENTROPY; FRACTAL DIMENSION; FRACTALS;

EID: 85027932906     PISSN: 11108665     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eij.2012.03.001     Document Type: Article
Times cited : (16)

References (15)
  • 3
    • 0011653710 scopus 로고    scopus 로고
    • Aspects of stylistic knowledge: What are different styles like and why do we listen to them?
    • Tekman HG, Hortacsu N. Aspects of stylistic knowledge: what are different styles like and why do we listen to them? Psychol. Music 2002;30(1):28-47.
    • (2002) Psychol. Music , vol.30 , Issue.1 , pp. 28-47
    • Tekman, H.G.1    Hortacsu, N.2
  • 6
    • 0036648502 scopus 로고    scopus 로고
    • Musical genre classification of audio signals
    • Tzanetakis G, Cook P. Musical genre classification of audio signals. IEEE Trans Speech Audio Process 2002;10(5):293-302.
    • (2002) IEEE Trans Speech Audio Process , vol.10 , Issue.5 , pp. 293-302
    • Tzanetakis, G.1    Cook, P.2
  • 11
    • 55749097765 scopus 로고    scopus 로고
    • A machine learning approach to automatic music genre classification
    • Silla Jr CN, Koerich AL, Kaestner CAA. A machine learning approach to automatic music genre classification. J Braz Comput Soc 2008;14(3).
    • (2008) J Braz Comput Soc , vol.14 , pp. 3
    • Silla Jr., C.N.1    Koerich, A.L.2    Caa, K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.