| Project/Area Number |
26540092
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Perceptual information processing
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| Research Institution | National Institute of Informatics |
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Principal Investigator |
Satoh Ken 国立情報学研究所, 情報学プリンシプル研究系, 教授 (00271635)
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| Co-Investigator(Kenkyū-buntansha) |
山岸 順一 国立情報学研究所, コンテンツ科学研究系, 准教授 (70709352)
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| Co-Investigator(Renkei-kenkyūsha) |
AIZAWA Akiko 国立情報学研究所, コンテンツ科学研究系, 教授 (90222447)
MIYAO Yusuke 国立情報学研究所, コンテンツ科学研究系, 准教授 (00343096)
BONO Mayumi 国立情報学研究所, コンテンツ科学研究系, 准教授 (50418521)
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| Project Period (FY) |
2014-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
Fiscal Year 2016: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2015: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2014: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Keywords | 音声合成 / 話者適応 / ディープラーニング / Otopedia / オトペディア / 聴覚による学習 |
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| Outline of Final Research Achievements |
For human learning from ears, we developed a method of making speaker-adaptive voice synthesis system. We showed that we can use deep-learning for the purpose with small amount of voice data as the previous Hidden Markov models. We also made a iOS application of audio book reader using the above method and demonstrated that the application could read digital books in a ePub format using speaker's voice. We could use this system for analysis of engagement time and learning performance using various voices.
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