Presentation | 2004/10/11 An Improvisational Music Generation System using Bayesian Network Yu FUJIMOTO, Noboru MURATA, |
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Abstract(in Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Bayesian network / music / small sample / mixture model / topology-conserve |
Paper # | NC2004-64 |
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Committee | NC |
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Conference Date | 2004/10/11(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Neurocomputing (NC) |
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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 |
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