Presentation 2005/8/18
Model adaptation and adaptive training algorithms for speech synthesis with diverse speaker characteristics
Juri ISOGAI, Katsumi OGATA, Yuji NAKANO, Junichi YAMAGISHI, Takao KOBAYASHI,
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Abstract(in English) This paper describes several speaker adaptation algorithms based on hidden semi-Markov model for simultaneous adaptation of voice characteristcs and prosodic features of synthetic speech and shows comparative evaluation of the adaptation algorithms in average-voice-based speech synthesis.
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Keyword(in English) HMM-based speech synthesis / hidden semi-Markov model / voice conversion / speaker adaptation / expressive speech synthesis
Paper # SP2005-50
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Committee SP
Conference Date 2005/8/18(1days)
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Registration To Speech (SP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Model adaptation and adaptive training algorithms for speech synthesis with diverse speaker characteristics
Sub Title (in English)
Keyword(1) HMM-based speech synthesis
Keyword(2) hidden semi-Markov model
Keyword(3) voice conversion
Keyword(4) speaker adaptation
Keyword(5) expressive speech synthesis
1st Author's Name Juri ISOGAI
1st Author's Affiliation Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology()
2nd Author's Name Katsumi OGATA
2nd Author's Affiliation Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology
3rd Author's Name Yuji NAKANO
3rd Author's Affiliation Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology
4th Author's Name Junichi YAMAGISHI
4th Author's Affiliation Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology
5th Author's Name Takao KOBAYASHI
5th Author's Affiliation Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology
Date 2005/8/18
Paper # SP2005-50
Volume (vol) vol.105
Number (no) 252
Page pp.pp.-
#Pages 6
Date of Issue