Presentation 2007/10/18
Corpus-based generation of prosodic features from text using generation process model of fundamental frequency contours
Keiko OCHI, Keikichi HIROSE, Nobuaki MINEMATSU,
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Abstract(in English) The paper presents a corpus-based method for generating prosodic features from a given text. The method consists of three steps : First, position and duration of pauses are predicted using linguistic information extracted from the text. Then, phone durations are predicted, and finally F0 contour generation process model (F0 model) parameters (command timings and amplitudes) are predicted. Information predicted in preceding steps is used for the following steps, thus obtaining the consistency between predicted prosodic features. By adding constraints on the accent command timings as a post processing, a better quality was realized in synthetic speech when predicted prosodic features were used. Validity of the developed method was confirmed through a listening test of synthetic speech.
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Keyword(in English) Fundamental frequency contour generation process model / prosody / text to speech synthesis
Paper # SP2007-78
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Committee SP
Conference Date 2007/10/18(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) Corpus-based generation of prosodic features from text using generation process model of fundamental frequency contours
Sub Title (in English)
Keyword(1) Fundamental frequency contour generation process model
Keyword(2) prosody
Keyword(3) text to speech synthesis
1st Author's Name Keiko OCHI
1st Author's Affiliation Department of Information and Communication Engineering, School of Information Science and Technology, University of Tokyo()
2nd Author's Name Keikichi HIROSE
2nd Author's Affiliation Department of Information and Communication Engineering, School of Information Science and Technology, University of Tokyo
3rd Author's Name Nobuaki MINEMATSU
3rd Author's Affiliation Dept. of Frontier Informatics, School of Frontier Sciences, University of Tokyo
Date 2007/10/18
Paper # SP2007-78
Volume (vol) vol.107
Number (no) 282
Page pp.pp.-
#Pages 6
Date of Issue