Presentation 2003/4/18
A Study on Average Voice Model Training Using Vocal Tract Length Normalization
Makoto HIROHATA, Takashi MASUKO, Takao KOBAYASHI,
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Abstract(in English) This paper describes a new training technique of average voice model using speaker normalization. In the proposed technique, to reduce the influence of variability of formant frequency due to the difference in vocal tract lengths of speakers, we incorporate a vocal tract length normalization technique into training stage of the spectral part of average voice model. It is observed that average voice model trained using the proposed technique generates sharper spectral envelope than the conventional average model. Moreover, from the results of subjective tests, it is shown that the proposed technique generates average voice of better quality than models trained using the conventional or speaker adaptive training techniques.
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Keyword(in English) HMM-based speech synthesis / average voice model / formant frequency / vocal tract length normalization
Paper # EA2003-19,SP2003-19
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Committee EA
Conference Date 2003/4/18(1days)
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Registration To Engineering Acoustics (EA)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on Average Voice Model Training Using Vocal Tract Length Normalization
Sub Title (in English)
Keyword(1) HMM-based speech synthesis
Keyword(2) average voice model
Keyword(3) formant frequency
Keyword(4) vocal tract length normalization
1st Author's Name Makoto HIROHATA
1st Author's Affiliation Department of Computer Science, Tokyo Institute of Technology:(Present address) Graduate School of Information Science and Engineering, Tokyo Institute of Technology()
2nd Author's Name Takashi MASUKO
2nd Author's Affiliation Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology
3rd Author's Name Takao KOBAYASHI
3rd Author's Affiliation Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology
Date 2003/4/18
Paper # EA2003-19,SP2003-19
Volume (vol) vol.103
Number (no) 25
Page pp.pp.-
#Pages 6
Date of Issue