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 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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Committee SP
Conference Date 2014/2/21(1days)
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Registration To Speech (SP)
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