Presentation 2009/12/14
Unsupervised Speaker Adaptation for Speech-to-Speech Translation System
Keiichiro Oura, Junichi Yamagishi, Mirjam Wester, Simon King, Keiichi Tokuda,
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Abstract(in English) In the EMIME project, we are developing a mobile device that performs personalized speech-to-speech translation such that a user's spoken input in one language is used to produce spoken output in another language, while continuing to sound like the user's voice. We integrate two techniques, unsupervised adaptation for HMM-based TTS using a word-based large-vocabulary continuous speech recognizer and cross-lingual speaker adaptation for HMM-based TTS, into a single architecture. Thus, an unsupervised cross-lingual speaker adaptation system can be developed. Listening tests show very promising results, demonstrating that adapted voices sound similar to the target speaker and that differences between supervised and unsupervised cross-lingual speaker adaptation are small.
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Committee NLC
Conference Date 2009/12/14(1days)
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Registration To Natural Language Understanding and Models of Communication (NLC)
Language ENG
Title (in Japanese) (See Japanese page)
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Title (in English) Unsupervised Speaker Adaptation for Speech-to-Speech Translation System
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1st Author's Name Keiichiro Oura
1st Author's Affiliation Nagoya Institute of Technology()
2nd Author's Name Junichi Yamagishi
2nd Author's Affiliation The Centre for Speech Technology Research
3rd Author's Name Mirjam Wester
3rd Author's Affiliation The Centre for Speech Technology Research
4th Author's Name Simon King
4th Author's Affiliation The Centre for Speech Technology Research
5th Author's Name Keiichi Tokuda
5th Author's Affiliation Nagoya Institute of Technology
Date 2009/12/14
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Volume (vol) vol.109
Number (no) 355
Page pp.pp.-
#Pages 6
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