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Volumn , Issue , 2013, Pages

Music genre classification using multiscale scattering and sparse representations

Author keywords

[No Author keywords available]

Indexed keywords

CLASSICATION; DISCRIMINATIVE POWER; FEATURE SELECTION AND CLASSIFICATION; MUSIC GENRE; MUSIC GENRE CLASSIFICATION; SCATTERING CO-EFFICIENT; SPARSE REPRESENTATION;

EID: 84881526300     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CISS.2013.6552324     Document Type: Conference Paper
Times cited : (14)

References (21)
  • 9
    • 84863380535 scopus 로고    scopus 로고
    • Unsupervised feature learning for audio classification using convolutional deep belief networks
    • H. Lee, Y. Largman, P. Pham, and A. Y. Ng, "Unsupervised feature learning for audio classification using convolutional deep belief networks," NIPS, 2009.
    • (2009) NIPS
    • Lee, H.1    Largman, Y.2    Pham, P.3    Ng, A.Y.4
  • 17
    • 84890457988 scopus 로고    scopus 로고
    • Lasso screening with a small regularization parameter
    • Y. Wang and P. J. Ramadge, "Lasso screening with a small regularization parameter," Submitted to IEEE ICASSP, 2013.
    • (2013) IEEE ICASSP
    • Wang, Y.1    Ramadge, P.J.2
  • 21
    • 67349176070 scopus 로고    scopus 로고
    • Automatic music genre classification based on modulation spectral analysis of spectral and cepstral features
    • C.-H. Lee, J.-L. Shih, K.-M. Yu, and H.-S. Lin, "Automatic music genre classification based on modulation spectral analysis of spectral and cepstral features," Multimedia, IEEE Transactions on, vol. 11, no. 4, 2009.
    • (2009) Multimedia, IEEE Transactions on , vol.11 , Issue.4
    • Lee, C.-H.1    Shih, J.-L.2    Yu, K.-M.3    Lin, H.-S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.