Presentation 2003/1/24
AN EVALUATION OF AUTOMATIC PHONEME SEGMENTATION FOR CONCATENATIVE SPEECH SYNTHESIS
Hisashi KAWAI, Tomoki TODA,
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Abstract(in English) This paper studies the performance of automatic phoneme segmentation in three viewpoints : (1) temporal precision, (2) effects on segment selection, and (3) effects on the naturalness of synthetic speech. The absolute error of thc phoneme beginning time for the best 90% and worst 10% were respectively 4.6ms and 25.9ms, which are comparable to discrepancies among human labelers. Our segment selection algorithm was found to have ability to eliminate waveform segments with large temporal errors, although not perfectly. As the result of a perception test in which naturalness was pair-compared between synthetic speeches generated from hand-labeled data and auto-labeled data, it was found that the difference is marginal in practice although the latter is statistically inferior.
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Keyword(in English) phoneme segmentation / speech synthesis / corpus-base / segment selection
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Conference Date 2003/1/24(1days)
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Registration To Speech (SP)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) AN EVALUATION OF AUTOMATIC PHONEME SEGMENTATION FOR CONCATENATIVE SPEECH SYNTHESIS
Sub Title (in English)
Keyword(1) phoneme segmentation
Keyword(2) speech synthesis
Keyword(3) corpus-base
Keyword(4) segment selection
1st Author's Name Hisashi KAWAI
1st Author's Affiliation Advanced Telecommunications Research Institute International()
2nd Author's Name Tomoki TODA
2nd Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
Date 2003/1/24
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Volume (vol) vol.102
Number (no) 619
Page pp.pp.-
#Pages 6
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