Presentation 2007/1/18
Influence of automatic segmentation for Concatenating Syllabic Components based on Positional Features
Satoshi FUJIO, Jin'ichi MURAKAMI, Satoru IKEHARA,
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Abstract(in English) The "Concatenating Syllabic Components based on Positional Features and Mora Information and Accent (CSCMA)" is a kind of corpus-based concatenative speech synthesis method. The features of CSCPMA is that only the language information is used to select the wave form. And we have been applied the CSCPMA to phrase speech synthesis and obtained good results. However, one weak point this method is that this method needed a hand labeled data. It's too cost. So we try to use the automatic labeling data used HMM. The result of experiments show that the difference between hand labeling and automatic labeling is little.
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Keyword(in English) Speech Synthesis / Corpus Based / Automatic Segmentation / Language Model
Paper # TL2006-53,SP2006-141,WIT2006-85
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Conference Date 2007/1/18(1days)
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Registration To Thought and Language (TL)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Influence of automatic segmentation for Concatenating Syllabic Components based on Positional Features
Sub Title (in English)
Keyword(1) Speech Synthesis
Keyword(2) Corpus Based
Keyword(3) Automatic Segmentation
Keyword(4) Language Model
1st Author's Name Satoshi FUJIO
1st Author's Affiliation Faculty of Engineering, Tottori University()
2nd Author's Name Jin'ichi MURAKAMI
2nd Author's Affiliation Faculty of Engineering, Tottori University
3rd Author's Name Satoru IKEHARA
3rd Author's Affiliation Faculty of Engineering, Tottori University
Date 2007/1/18
Paper # TL2006-53,SP2006-141,WIT2006-85
Volume (vol) vol.106
Number (no) 485
Page pp.pp.-
#Pages 6
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