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Volumn 1, Issue , 2011, Pages 124-127

On the effect of memory width in automatic transcription systems for polyphonic piano music

Author keywords

Constant Q Transform; Memory; Piano music transcription; Support Vector Machine

Indexed keywords

CLASSIFICATION (OF INFORMATION); CYBERNETICS; DATA STORAGE EQUIPMENT; MUSICAL INSTRUMENTS; SUPPORT VECTOR MACHINES; TRANSCRIPTION; VECTORS;

EID: 80052904880     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (1)

References (12)
  • 1
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  • 2
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    • Musical frequency tracking using the methods of conventional and narrowed autocorrelation
    • J. C. Brown and B. Zhang, “Musical frequency tracking using the methods of conventional and narrowed autocorrelation”, Journal of the Acoustical Society of America, vol. 89, no. 5, 1991.
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    • Brown, J.C.1    Zhang, B.2
  • 3
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    • A connectionist approach to automatic transcription of polyphonic piano music
    • M. Marolt, “A connectionist approach to automatic transcription of polyphonic piano music,” IEEE Transactions on Multimedia, vol. 6, no. 3, 2004.
    • (2004) IEEE Transactions on Multimedia , vol.6 , Issue.3
    • Marolt, M.1
  • 7
    • 0026057076 scopus 로고
    • Calculation of a constant Q spectral transform
    • J. C. Brown, “Calculation of a constant Q spectral transform”, Journal of the Acoustical Society of America, vol. 89, no. 1, pp. 425–434, 1991.
    • (1991) Journal of The Acoustical Society of America , vol.89 , Issue.1 , pp. 425-434
    • Brown, J.C.1
  • 8
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    • An efficient algorithm for the calculation of a constant Q transform
    • J. C. Brown and M. S. Puckette, “An efficient algorithm for the calculation of a constant Q transform,” Journal of the Acoustical Society of America, vol. 92, no. 5, pp. 2698–2701, 1992.
    • (1992) Journal of The Acoustical Society of America , vol.92 , Issue.5 , pp. 2698-2701
    • Brown, J.C.1    Puckette, M.S.2
  • 10
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    • T. Joachims, Making large-Scale SVM Learning Practical. Advances in Kernel Methods - Support Vector Learning, B. Schölkopf and C. Burges and A. Smola (ed.), MIT-Press, 1999.
    • (1999) Advances in Kernel Methods - Support Vector Learning
    • Joachims, T.1
  • 11
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    • A Discriminative Model for Polyphonic Piano Transcription
    • Article ID 2007
    • G. Poliner and D. Ellis, “A Discriminative Model for Polyphonic Piano Transcription”, EURASIP Journal of Advances in Signal Processing, vol. 2007, Article ID 48317, pp. 1-9, 2007.
    • (2007) EURASIP Journal of Advances in Signal Processing , pp. 1-9
    • Poliner, G.1    Ellis, D.2
  • 12
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    • On the computer recognition of solo piano music
    • in Brisbane, Australia, July
    • S. Dixon, “On the computer recognition of solo piano music”, in Proceedings of Australasian Computer Music Conference, pp. 31–37, Brisbane, Australia, July 2000.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.