Development of music information retrieval system for instrumental music by using automatic music-to-onomatopoeias converter
| Project/Area Number |
25330140
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Multimedia database
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| Research Institution | Osaka Institute of Technology |
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Principal Investigator |
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| Research Collaborator |
KAWASHIMA Kohei
KUBO Hayato
KUROKAWA Yutaro
KOMAI Riki
SATO Tomoya
SUGITA Yusuke
SUGIMOTO Yuta
HISAOKA Akimitsu
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| Project Period (FY) |
2013-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2016: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2015: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2014: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2013: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
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| Keywords | 楽曲検索システム / 擬音語歌唱 / 音程抽出 / 歌唱音声認識 / 歌唱音声の認識 / 擬音語自動変換 |
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| Outline of Final Research Achievements |
In this study, we have developed a music information retrieval (MIR) system for instrumental music, which uses singing voice by onomatopoeias as query.
Relationship between music and its representation by onomatopoeias can be used for retrieval in addition to melody information. In order to realize such MIR system, following four methods has been developed; automatic music-to-onomatopoeias converter, high performance melody information extractor and lyrics recognizer from singing voice, and high speed retriever.
From experimental results, the converter outputted appropriate onomatopoeias representations. The extractor and the recognizer outperformed conventional methods, and the retriever suppressed about 10% amount of calculation.
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Report
(5 results)
Research Products
(8 results)
