A Dynamic Modelling Approach to Music Recognition

International Computer Music Conference, ICMC Proceedings

Volumn , Issue , 1996, Pages 83-86

  Dixon, Simon ^a  

^a FLINDERS UNIVERSITY   (Australia)

Author keywords

automatic transcription; music recognition

Indexed keywords

AUDITION; MUSIC;

ANALYSIS MODELS; AUDITORY PERCEPTION; AUDITORY SCENE ANALYSIS; AUTOMATIC TRANSCRIPTION; DYNAMIC MODELING APPROACH; DYNAMICS MODELS; FOURIER'S ANALYSIS; MUSIC RECOGNITION; TRADITIONAL APPROACHES;

FOURIER ANALYSIS;

EID: 84873449582     PISSN: 22233881     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Bregman, A. (1990). Auditory Scene Analysis: The Perceptual Organisation of Sound. Bradford, MIT Press.
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3. Chafe, C, Jaffe, D., Kashima, K., Mont-Reynaud, B., and Smith, J. (1985). Techniques for note identification in polyphonic music. In Proceedings of the International Computer Music Conference. Computer Music Association, San Francisco CA.
4. Dannenberg, R. (1991). Recent work in real-time music understanding by computer. Proceedings of the International Symposium on Music, Language, Speech and Brain.
5. Dixon, S. (1996). Multiphonic note identification. Australian Computer Science Communications, 17(1).
6. Dolson, M. (1986). The phase vocoder: A tutorial. Computer Music Journal, 10(4):14-27.
7. Flanagan, J. and Golden, R. (1966). Phase vocoder. Bell System Technical Journal, 45:1493-1509.
8. Rosenthal, D. (1992). Emulation of human rhythm perception. Computer Music Journal, 16(l):64-76.
9. Tanguiane, A. (1993). Artificial Perception and Music Recognition. Springer-Verlag.