Presentation 2008-12-10
Simultaneous Transformation of Duration and Spectrum Using Statistical Models Including Time-Sequence Matching
Kaori YUTANI, Yoshihiko NANKAKU, Tomoki TODA, Keiichi TOKUDA,
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Abstract(in English) This paper describes a simultaneous conversion technique of duration and spectrum based on a statistical model including time-sequence matching. The conventional GMM-based approach cannot perform spectral conversion taking account of speaking rates because it assumes one to one frame matching between source and target features. However, speaker characteristics may also appear in speaking rates. In order to perform duration conversion, we attach duration models to statistical models including time-sequence matching (DPGMM). Since DPGMM can represent two different length sequences directly, the conversion of spectrum and duration can be performed within an integrated framework. In the proposed technique, each mixture component of DPGMM has different duration transformation functions, therefore durations are converted nonlinearly and dependently on spectral information. In a subjective DMOS test, the proposed method is superior to the conventional method.
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Keyword(in English) Voice conversion / Duration conversion / GMM
Paper # NLC2008-37,SP2008-92
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Committee NLC
Conference Date 2008/12/2(1days)
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Registration To Natural Language Understanding and Models of Communication (NLC)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Simultaneous Transformation of Duration and Spectrum Using Statistical Models Including Time-Sequence Matching
Sub Title (in English)
Keyword(1) Voice conversion
Keyword(2) Duration conversion
Keyword(3) GMM
1st Author's Name Kaori YUTANI
1st Author's Affiliation Department of Computer Science and Engineering, Nagoya Institute of Technology()
2nd Author's Name Yoshihiko NANKAKU
2nd Author's Affiliation Department of Computer Science and Engineering, Nagoya Institute of Technology
3rd Author's Name Tomoki TODA
3rd Author's Affiliation Graduate School of Information Science, Nara Institute of Technology
4th Author's Name Keiichi TOKUDA
4th Author's Affiliation Department of Computer Science and Engineering, Nagoya Institute of Technology
Date 2008-12-10
Paper # NLC2008-37,SP2008-92
Volume (vol) vol.108
Number (no) 337
Page pp.pp.-
#Pages 6
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