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Volumn , Issue , 2010, Pages 334-352

Automatic tagging of audio: The state-of-the-art

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EID: 80051647410     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4018/978-1-61520-919-4.ch014     Document Type: Chapter
Times cited : (51)

References (55)
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    • Aucouturier, J. J., & Pachet, F. (2003). Representing Musical Genre: A State of the Art. Journal of New Music Research, 32, 83-93. doi:10.1076/jnmr.32.1.83.16801
    • (2003) Journal of New Music Research , vol.32 , pp. 83-93
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    • Audioscrobbler. Web Services. Retrieved from
    • Audioscrobbler. Web Services. Retrieved from http://www.audioscrobbler.net/~data/webservices/
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    • Aggregate features and adaboost for music classification
    • doi:10.1007/s10994-006-9019-7
    • Bergstra, J., Casagrande, N., Erhan, D., Eck, D., & Kégl, B. (2006). Aggregate Features and AdaBoost for Music Classification. Machine Learning, 65, 473-484. doi:10.1007/s10994-006-9019-7
    • (2006) Machine Learning , vol.65 , pp. 473-484
    • Bergstra, J.1    Casagrande, N.2    Erhan, D.3    Eck, D.4    Kégl, B.5
  • 11
    • 84900049596 scopus 로고    scopus 로고
    • Filterboost: Regression and classification on large datasets. Advances in neural information processing systems 20
    • MA, MIT Press
    • Bradley, J. K., & Schapire, R. (2008). FilterBoost: Regression and Classification on Large Datasets. Advances in Neural Information Processing Systems 20. Cambridge, MA: MIT Press.
    • (2008) Cambridge
    • Bradley, J.K.1    Schapire, R.2
  • 39
    • 30844460370 scopus 로고    scopus 로고
    • Sparse representations of polyphonic music
    • doi:10.1016/j.sigpro.2005.06.007
    • Plumbley, M., Abdallah, S., Blumensath, T., & Davies, M. (2006). Sparse representations of polyphonic music. Signal Processing, 86, 417-431. doi:10.1016/j.sigpro.2005.06.007
    • (2006) Signal Processing , vol.86 , pp. 417-431
    • Plumbley, M.1    Abdallah, S.2    Blumensath, T.3    Davies, M.4
  • 40
    • 14544277086 scopus 로고    scopus 로고
    • Efficient coding of time-relative structure using spikes
    • [Boston: MIT Press.], doi:10.1162/0899766052530839
    • Smith, E., & Lewicki, M. S. (2005). Efficient coding of time-relative structure using spikes. [Boston: MIT Press.]. Neural Computation, 17, 19-45. doi:10.1162/0899766052530839
    • (2005) Neural Computation , vol.17 , pp. 19-45
    • Smith, E.1    Lewicki, M.S.2
  • 41
    • 33644513420 scopus 로고    scopus 로고
    • Efficient auditory coding
    • doi:10.1038/nature04485
    • Smith, E., & Lewicki, M. S. (2006). Efficient auditory coding. Nature, 439, 978-982. doi:10.1038/nature04485
    • (2006) Nature , vol.439 , pp. 978-982
    • Smith, E.1    Lewicki, M.S.2
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    • Ml-knn: A lazy learning approach to multi-label learning
    • [Maryland Heights, MO: Elsevier Science inc.], doi:10.1016/j.patcog.2006.12.019
    • Zhang, M., & Zhou, Z. (2007). ML-KNN: A lazy learning approach to multi-label learning. [Maryland Heights, MO: Elsevier Science Inc.]. Pattern Recognition, 40, 2038-2048. doi:10.1016/j.patcog.2006.12.019
    • (2007) Pattern Recognition , vol.40 , pp. 2038-2048
    • Zhang, M.1    Zhou, Z.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.