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Volumn , Issue , 2014, Pages 6974-6978

From music audio to chord tablature: Teaching deep convolutional networks toplay guitar

Author keywords

chord recognition; deep networks; guitar tablature; representation learning

Indexed keywords

COMPUTER MUSIC; MUSICAL INSTRUMENTS; PHYSICAL ADDRESSES; SIGNAL PROCESSING;

EID: 84905252109     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2014.6854952     Document Type: Conference Paper
Times cited : (28)

References (14)
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  • 3
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    • 84876264952 scopus 로고    scopus 로고
    • Input-output hmm applied to automatic arrangement for guitars
    • G. Hori, H. Kameoka, and S. Sagayama, "Input-output hmm applied to automatic arrangement for guitars.," JIP, vol. 21, no. 2, pp. 264-271, 2013.
    • (2013) JIP , vol.21 , Issue.2 , pp. 264-271
    • Hori, G.1    Kameoka, H.2    Sagayama, S.3
  • 9
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    • Convolutional networks and applications in vision
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    • Gradient-based learning applied to document recognition
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    • An expert ground truth set for audio chord recognition and music analysis
    • J. A. Burgoyne, J. Wild, and I. Fujinaga, "An expert ground truth set for audio chord recognition and music analysis," in Proc. ISMIR, 2011.
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  • 13
    • 77955798097 scopus 로고    scopus 로고
    • Simultaneous estimation of chords and musical context from audio
    • M. Mauch and S. Dixon, "Simultaneous estimation of chords and musical context from audio," IEEE Transactions on Audio, Speech &Language Processing, vol. 18, no. 6, pp. 1280-1289, 2010.
    • (2010) IEEE Transactions on Audio, Speech &Language Processing , vol.18 , Issue.6 , pp. 1280-1289
    • Mauch, M.1    Dixon, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.