Publication: Thai syllable analysis for rule-based text to speech system
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Issued Date
2013-12-01
Resource Type
ISSN
09226389
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2-s2.0-84894569770
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Mahidol University
Rights Holder(s)
SCOPUS
Bibliographic Citation
Frontiers in Artificial Intelligence and Applications. Vol.253, (2013), 139-153
Suggested Citation
Lalita Narupiyakul, Booncharoen Sirinaovakul, Nick Cercone Thai syllable analysis for rule-based text to speech system. Frontiers in Artificial Intelligence and Applications. Vol.253, (2013), 139-153. doi:10.3233/978-1-61499-258-5-139 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/31606
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Title
Thai syllable analysis for rule-based text to speech system
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Abstract
TTS system initially transforms text input into a sequence of sound symbols. The complexity of Thai requires about several hundred of rules including main and specific rules to derive most pronunciations for the rule-based approach. Our proposed rule-based system is based on the syllable structure analysis. To increase the quality of TTS, an exception dictionary to cover anomalous pronunciations and using rule reference engine to determine sentence structure are included in the system. The phonetic generation and speech generation by mapping table are sequential steps to transform a set of phonetic symbols to speech waveform. © 2013 The authors and IOS Press. All rights reserved.