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Volumn , Issue , 2010, Pages 546-550

Automatic musical pattern feature extraction using convolutional neural network

Author keywords

Convolutional neural network; Multimedia data mining; Music feature extractor; Music information retrieval

Indexed keywords

AUDIO MUSIC; AUDIO SIGNAL; CONVOLUTIONAL NEURAL NETWORK; MULTIMEDIA DATA MINING; MUSIC FEATURE EXTRACTOR; MUSIC GENRE CLASSIFICATION; MUSIC INFORMATION RETRIEVAL; PATTERN FEATURE EXTRACTION; PRIOR KNOWLEDGE;

EID: 79952408648     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (78)

References (18)
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    • McKay, C. and Fujinaga, I. Classification of musical genre: a machine learning approach Proceedings of ISMIR 2004
    • (2004) Proceedings of ISMIR
    • McKay, C.1    Fujinaga, I.2
  • 4
    • 0036648502 scopus 로고    scopus 로고
    • Musical genre classification of audio signals
    • DOI 10.1109/TSA.2002.800560, PII 1011092002800560
    • Tzanetakis, G. and Cook, P. Musical genre classification of audio signals, IEEE Transactions on speech and audio processing Volume 10, Number 5, p293- 302, 2002 (Pubitemid 34950067)
    • (2002) IEEE Transactions on Speech and Audio Processing , vol.10 , Issue.5 , pp. 293-302
    • Tzanetakis, G.1    Cook, P.2
  • 5
    • 62649114038 scopus 로고    scopus 로고
    • Factors in automatic musical genre classification of audio signals
    • Li, T. and Tzanetakis, G. Factors in automatic musical genre classification of audio signals IEEE WASPAA, p143-146, 2003
    • (2003) IEEE WASPAA , pp. 143-146
    • Li, T.1    Tzanetakis, G.2
  • 7
    • 33751531805 scopus 로고    scopus 로고
    • Aggregate features and ADABOOST for music classification
    • DOI 10.1007/s10994-006-9019-7, Special Issue on Machine Learning in and for Music
    • Bergstra, J. and Casagrande, N. and Erhan, D. and Eck, D. and Kegl, B. Aggregate features and AdaBoost for music classification Machine Learning, Volume 65, Number 2, p473-484, 2006 (Pubitemid 44836054)
    • (2006) Machine Learning , vol.65 , Issue.2-3 , pp. 473-484
    • Bergstra, J.1    Casagrande, N.2    Erhan, D.3    Eck, D.4    Kegl, B.5
  • 8
    • 84873607165 scopus 로고    scopus 로고
    • Classifying music audio with timbral and chroma features
    • Ellis, D.P.W. Classifying music audio with timbral and chroma features Dins Proc. ISMIR 2007
    • (2007) Dins Proc. ISMIR
    • Ellis, D.P.W.1
  • 10
    • 84873596118 scopus 로고    scopus 로고
    • Improving genre classification by combination of audio and symbolic descriptors using a transcription system
    • Vienna, Austria
    • Lidy, T. and Rauber, A. and Pertusa, A. and Inesta, J.M. Improving genre classification by combination of audio and symbolic descriptors using a transcription system Proc. ISMIR, Vienna, Austria 2007
    • (2007) Proc. ISMIR
    • Lidy, T.1    Rauber, A.2    Pertusa, A.3    Inesta, J.M.4
  • 13
    • 0018196452 scopus 로고
    • Spatial summation in the receptive fields of simple cells in the cat's striate cortex
    • Movshon, JA and Thompson, ID and Tolhurst, DJ Spatial summation in the receptive fields of simple cells in the cat's striate cortex. The Journal of Physiology Volume 283, Number 1, p53, 1978
    • (1978) The Journal of Physiology , vol.283 , Issue.1 , pp. 53
    • Movshon, J.A.1    Thompson, I.D.2    Tolhurst, D.J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.