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Volumn , Issue , 2012, Pages 393-400

Applying multiple kernel learning to automatic genre classification

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC GENRE CLASSIFICATION; CLASSIFICATION PERFORMANCE; MULTIPLE KERNEL LEARNING; MUSIC GENRE CLASSIFICATION; SUPPORT VECTOR MACHINE CLASSIFIERS;

EID: 84890027084     PISSN: 14318814     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-642-24466-7_40     Document Type: Conference Paper
Times cited : (2)

References (18)
  • 2
    • 34547645414 scopus 로고    scopus 로고
    • The bag-of-frames approach to audio pattern recognition: A sufficient model for urban soundscapes but not for polyphonic music
    • Aucouturier JJ, Defreville B, Pachet F (2007) The bag-of-frames approach to audio pattern recognition: A sufficient model for urban soundscapes but not for polyphonic music. J Acoust Soc Am 122(2):881-891
    • (2007) J Acoust Soc Am , vol.122 , Issue.2 , pp. 881-891
    • Aucouturier, J.J.1    Defreville, B.2    Pachet, F.3
  • 11
    • 84923550097 scopus 로고    scopus 로고
    • Automatic chord recognition from audio using enhanced pitch class profile
    • New Orleans, USA
    • Lee K (2006) Automatic chord recognition from audio using enhanced pitch class profile. In: Proc. of the Int. Computer Music Conf. (ICMC), New Orleans, USA, pp 306-313
    • (2006) Proc. of the Int. Computer Music Conf. (ICMC) , pp. 306-313
    • Lee, K.1
  • 13
    • 84886370540 scopus 로고    scopus 로고
    • Hierarchical gaussian tree with inertia ratio maximization for the classification of large musical instruments databases
    • London, UK
    • Peeters G, Rodet X (2003) Hierarchical gaussian tree with inertia ratio maximization for the classification of large musical instruments databases. In: Proc. of the 6th Intl. Conf. on Digital Audio Effects (DAFx)., London, UK
    • (2003) Proc. of the 6th Intl. Conf. on Digital Audio Effects (DAFx).
    • Peeters, G.1    Rodet, X.2
  • 14
    • 26444467746 scopus 로고    scopus 로고
    • Learning interpretable SVMs for biological sequence classification
    • Miyano S, Mesirov J, Kasif S, Istrail S, Pevzner P, Waterman M (eds), Springer, Berlin/Heidelberg
    • Sonnenburg S, Rätsch G, Schäfer C (2005) Learning interpretable SVMs for biological sequence classification. In: Miyano S, Mesirov J, Kasif S, Istrail S, Pevzner P, Waterman M (eds) Research in Computational Molecular Biology, Lecture Notes in Computer Science, vol 3500, Springer, Berlin/Heidelberg, pp 389-407
    • (2005) Research in Computational Molecular Biology, Lecture Notes in Computer Science , vol.3500 , pp. 389-407
    • Sonnenburg, S.1    Rätsch, G.2    Schäfer, C.3
  • 16
    • 0036648502 scopus 로고    scopus 로고
    • Musical genre classification of audio signals
    • Tzanetakis G, Cook P (2002) Musical genre classification of audio signals. IEEE Trans Speech Audio Process 10(5):293-302
    • (2002) IEEE Trans Speech Audio Process , vol.10 , Issue.5 , pp. 293-302
    • Tzanetakis, G.1    Cook, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.