Presentation 2004/10/11
An Improvisational Music Generation System using Bayesian Network
Yu FUJIMOTO, Noboru MURATA,
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Abstract(in English) An uncertainty of human behavior is expected to be described by Bayesian networks. An improvisational performance of jazz is a remarkable example of such an uncertainty. In jazz, the uncertainty depending on musical sense and experience of a performer causes an audience's interest. Our purpose is expressing the uncertainty of jazz, and constructing a system which generates an improvisational music. This paper shows a problem and a solution of probabilistic modeling by constructing an improvisational music generation system.
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Keyword(in English) Bayesian network / music / small sample / mixture model / topology-conserve
Paper # NC2004-64
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Conference Information
Committee NC
Conference Date 2004/10/11(1days)
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Paper Information
Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Improvisational Music Generation System using Bayesian Network
Sub Title (in English)
Keyword(1) Bayesian network
Keyword(2) music
Keyword(3) small sample
Keyword(4) mixture model
Keyword(5) topology-conserve
1st Author's Name Yu FUJIMOTO
1st Author's Affiliation School of Science and Engineering, Waseda University()
2nd Author's Name Noboru MURATA
2nd Author's Affiliation School of Science and Engineering, Waseda University
Date 2004/10/11
Paper # NC2004-64
Volume (vol) vol.104
Number (no) 348
Page pp.pp.-
#Pages 6
Date of Issue