A study of speech synthesis for achieving synthetic speech with high quality and variability based on hybrid approach
| Project/Area Number |
25730106
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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 | Tohoku University |
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Principal Investigator |
NOSE Takashi 東北大学, 工学(系)研究科(研究院), 講師 (90550591)
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| Project Period (FY) |
2013-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2014: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2013: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
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| Keywords | 統計的音声合成 / 非言語情報 / パラ言語情報 / 韻律 / 多言語 / 歌声合成 / パラメータ生成 / 隠れマルコフモデル / ガウス過程回帰 / 重回帰隠れセミマルコフモデル / 強調表現 / 音声合成 / ハイブリッド / 高品質 / 多様化 |
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| Outline of Final Research Achievements |
The purpose of this research is to establish hybrid speech synthesis framework that can synthesize human-like speech with various emotional expressions and/or speaking styles using only a limited amount of speech data. We achieved the following six issues in this research. (1) Flexible control of non- or para-linguistic information appearing in synthetic speech. (2) Automatic training of prosodic variations, (3)Expansion to the multi-lingual or cross-lingual speech synthesis, (4)Application to singing voice synthesis, (5) Efficient designing of speech corpus for synthesis, and (6) Improving subjective quality of synthetic speech by modifying the conventional parameter generation method .
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Report
(3 results)
Research Products
(22 results)
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[Journal Article] HMM-based expressive speech synthesis based on phrase-level F0 context labeling2013
Author(s)
Yu Maeno, Takashi Nose, Takao Kobayashi, Tomoki Koriyama, Yusuke Ijima, Hideharu Nakajima, Hideyuki Mizuno, Osamu Yoshioka
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Journal Title
Proc. 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013
Volume: vol.1
Pages: 7859-7863
Related Report
Peer Reviewed
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