Presentation | 2014-02-28 Analysis of music expression by onomatopoeia and development of automatic conversion system Yutaro KUROKAWA, Tomoa SATO, Motoyuki SUZUKI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We proposed a new music information retrieval system, which can use a singing voice with onomatopoeia as a retrieval key for retrieving an instrumental music. First, we develop a singing with onomatopoeia database. As a result of analysis for it, onomatopoeia of total was 6206 and kind was 149. An automatic conversion system from an instrumental music into an onomatopoeia sequence text converted to onomatopoeia with an accuracy of 60% in a particular instrument. It is realized by using speech recognition technology. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Music Search / Onomatopoeia |
Paper # | SP2013-113 |
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Conference Information | |
Committee | SP |
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Conference Date | 2014/2/21(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Speech (SP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Analysis of music expression by onomatopoeia and development of automatic conversion system |
Sub Title (in English) | |
Keyword(1) | Music Search |
Keyword(2) | Onomatopoeia |
1st Author's Name | Yutaro KUROKAWA |
1st Author's Affiliation | Osaka Institute of Technology() |
2nd Author's Name | Tomoa SATO |
2nd Author's Affiliation | Osaka Institute of Technology |
3rd Author's Name | Motoyuki SUZUKI |
3rd Author's Affiliation | Osaka Institute of Technology |
Date | 2014-02-28 |
Paper # | SP2013-113 |
Volume (vol) | vol.113 |
Number (no) | 452 |
Page | pp.pp.- |
#Pages | 2 |
Date of Issue |