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Volumn , Issue , 2011, Pages 729-734

Temporal pooling and multiscale learning for automatic annotation and ranking of music audio

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC ANNOTATION; MULTISCALES; STATE-OF-THE-ART PERFORMANCE; TEMPORAL POOLING;

EID: 84864146684     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (85)

References (20)
  • 2
    • 34547975052 scopus 로고    scopus 로고
    • Scaling learning algorithms towards AI
    • L. Bottou, O. Chapelle, D. De- Coste, and J. Weston, editors, MIT Press
    • Yoshua Bengio and Yann LeCun. Scaling learning algorithms towards AI. In L. Bottou, O. Chapelle, D. De- Coste, and J. Weston, editors, Large Scale Kernel Machines. MIT Press, 2007.
    • (2007) Large Scale Kernel Machines
    • Bengio, Y.1    Lecun, Y.2
  • 4
    • 84873599467 scopus 로고    scopus 로고
    • Scalable genre and tag prediction with spectral covariance
    • James Bergstra, Michael Mandel, and Douglas Eck. Scalable genre and tag prediction with spectral covariance. In ISMIR, 2010.
    • (2010) ISMIR
    • Bergstra, J.1    Mandel, M.2    Eck, D.3
  • 8
    • 84873602531 scopus 로고    scopus 로고
    • Content-based music genre classification using timbral feature vectors and support vector machine
    • Culture and Human, ICIS. ACM
    • Shi-Huang Chen and Shih-Hao Chen. Content-based music genre classification using timbral feature vectors and support vector machine. In Proc. Intl. Conf. on Interaction Sciences: Information Technology, Culture and Human, ICIS. ACM, 2009.
    • (2009) Proc. Intl. Conf. on Interaction Sciences: Information Technology
    • Chen, S.-H.1    Chen, S.-H.2
  • 10
    • 84873584268 scopus 로고    scopus 로고
    • Learning features from music audio with deep belief networks
    • Philippe Hamel and Douglas Eck. Learning features from music audio with deep belief networks. In ISMIR, 2010.
    • (2010) ISMIR
    • Hamel, P.1    Eck, D.2
  • 12
    • 84873657155 scopus 로고    scopus 로고
    • A music classification method based on timbral features
    • Thibault Langlois. A music classification method based on timbral features. In ISMIR, 2009.
    • (2009) ISMIR
    • Langlois, T.1
  • 14
    • 84873647698 scopus 로고    scopus 로고
    • Evaluation of algorithms using games: The case of music tagging
    • Edith Law, Kris West, Michael Mandel, Mert Bay, and J. Stephen Downie. Evaluation of algorithms using games: the case of music tagging. In ISMIR, 2009.
    • (2009) ISMIR
    • Law, E.1    West, K.2    Mandel, M.3    Bay, M.4    Downie, J.S.5
  • 17
    • 84873473825 scopus 로고    scopus 로고
    • Multiple-instance learning for music information retrieval
    • M. I. Mandel and D. P.W. Ellis. Multiple-instance learning for music information retrieval. In ISMIR, 2008.
    • (2008) ISMIR
    • Mandel, M.I.1    Ellis, D.P.W.2
  • 18
    • 84858822875 scopus 로고    scopus 로고
    • Mirex special tagatune evaluation submission
    • Pierre-Antoine Manzagol and Samy Bengio. Mirex special tagatune evaluation submission. In MIREX, 2009.
    • (2009) MIREX
    • Manzagol, P.-A.1    Bengio, S.2
  • 19
    • 77950110014 scopus 로고    scopus 로고
    • Marsyas submissions to MIREX 2009
    • George Tzanetakis. Marsyas submissions to MIREX 2009. In MIREX, 2009.
    • (2009) MIREX
    • Tzanetakis, G.1
  • 20
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    • Finding an optimal segmentation for audio genre classification
    • KrisWest and Stephen Cox. Finding an optimal segmentation for audio genre classification. In ISMIR, 2005.
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    • Kriswest1    Cox, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.