A study of speech information processing based on mathematical models for speaker and linguistic information and there probabilistic integration
| Project/Area Number |
25730105
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Perceptual information processing
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| Research Institution | The University of Tokyo |
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Principal Investigator |
SAITO DAISUKE 東京大学, 情報理工学(系)研究科, 助教 (40615150)
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| Project Period (FY) |
2013-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2014: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2013: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Keywords | 音声情報処理 / 声質変換 / 話者識別 / 行列変量 / 言語識別 / テンソル解析 / 話者認識 / 言語認識 / 相対関係特徴 |
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| Outline of Final Research Achievements |
In this study, to achieve more sophisticated speech information processing, mathematical models which divide speech into linguistic information and speaker information separately were developed. In addition, a framework where these mathematical models are integrated was also developed. We have proposed speech representation based on tensor analysis and applied to language identification and speaker identification. A new voice conversion framework based on matrix variate probabilistic distribution was also developed.
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Report
(4 results)
Research Products
(20 results)
