| Presentation | 2008-11-08 The clustering of midi music using Self-Organizing Map and Hidden Markov Model Kouhei Tanaka, Hiroshi Dozono, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | As the classification system of musical information, we propose a clustering method of MIDI music data using Self Organizing Maps (SOM) whose nodes are associated to Hidden Markov Model (HMM). MIDI data are converted from scores of music consisting all information for playing the music. In this research, the SOM decide the winner node whose likelihood of a phrase is maximum with onset times HMM and we employ batch learning for process of SOM learning. We examine the ability of the classification according to the genre of music (Rock, Jazz, Blues, Country, Latin. etc.) as the results of learning using SOM with HMM. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Self-Organizing Map / Musical information processing / MIDI / Hidden Markov Model |
| Paper # | NC2008-66 |
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| Committee | NC |
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| Conference Date | 2008/10/31(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| 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) | The clustering of midi music using Self-Organizing Map and Hidden Markov Model |
| Sub Title (in English) | |
| Keyword(1) | Self-Organizing Map |
| Keyword(2) | Musical information processing |
| Keyword(3) | MIDI |
| Keyword(4) | Hidden Markov Model |
| 1st Author's Name | Kouhei Tanaka |
| 1st Author's Affiliation | The Department of Advanced Systems Control Engineering Graduate School of Science and Engineering, Saga University() |
| 2nd Author's Name | Hiroshi Dozono |
| 2nd Author's Affiliation | The Department of Advanced Systems Control Engineering Graduate School of Science and Engineering, Saga University |
| Date | 2008-11-08 |
| Paper # | NC2008-66 |
| Volume (vol) | vol.108 |
| Number (no) | 281 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |