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Volumn , Issue , 2000, Pages

Adaptive oscillator networks for partial tracking and piano music transcription

Author keywords

[No Author keywords available]

Indexed keywords

AUDIO ACOUSTICS; MUSIC; MUSICAL INSTRUMENTS;

EID: 4944227644     PISSN: 22233881     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (8)
  • 1
    • 77950415684 scopus 로고
    • Resonance and the perception of musical meter
    • [Large and Kolen, 1994]
    • [Large and Kolen, 1994] E.W. Large, J.F. Kolen, “Resonance and the perception of musical meter,” Connection Science, 6(1), 1994.
    • (1994) Connection Science , vol.6 , Issue.1
    • Large, E.W.1    Kolen, J.F.2
  • 2
    • 84943179941 scopus 로고    scopus 로고
    • A comparison of feed forward neural network architectures for piano music transcription
    • [Marolt, 1999] Beijing, China
    • [Marolt, 1999] M. Marolt, “A comparison of feed forward neural network architectures for piano music transcription,” Proceedings of the 1999 International Computer Music Conference, Beijing, China, 1999.
    • (1999) Proceedings of the 1999 International Computer Music Conference
    • Marolt, M.1
  • 4
    • 0022624057 scopus 로고
    • Simulation of mechanical to neural transduction in the auditory recepter
    • [Meddis, 1986] March
    • [Meddis, 1986] R. Meddis, “Simulation of mechanical to neural transduction in the auditory recepter,” Journal of the Acoustical Society of America, vol.79, no.3, p. 702-711, March 1986.
    • (1986) Journal of the Acoustical Society of America , vol.79 , Issue.3 , pp. 702-711
    • Meddis, R.1
  • 8
    • 0003913694 scopus 로고    scopus 로고
    • An Efficient Implementation of the Patterson-Holdsworth Auditory Filter Bank
    • [Slaney, 1993] Apple Computer Technical Report #35
    • [Slaney, 1993] Malcolm Slaney, “An Efficient Implementation of the Patterson-Holdsworth Auditory Filter Bank,” Apple Computer Technical Report #35,
    • Slaney, Malcolm1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.