Publication:
Thai syllable analysis for rule-based text to speech system

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dc.contributor.authorLalita Narupiyakulen_US
dc.contributor.authorBooncharoen Sirinaovakulen_US
dc.contributor.authorNick Cerconeen_US
dc.contributor.otherMahidol Universityen_US
dc.contributor.otherKing Mongkuts University of Technology Thonburien_US
dc.contributor.otherYork Universityen_US
dc.date.accessioned2018-10-19T04:50:55Z
dc.date.available2018-10-19T04:50:55Z
dc.date.issued2013-12-01en_US
dc.description.abstractTTS 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.en_US
dc.identifier.citationFrontiers in Artificial Intelligence and Applications. Vol.253, (2013), 139-153en_US
dc.identifier.doi10.3233/978-1-61499-258-5-139en_US
dc.identifier.issn09226389en_US
dc.identifier.other2-s2.0-84894569770en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/31606
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84894569770&origin=inwarden_US
dc.subjectComputer Scienceen_US
dc.titleThai syllable analysis for rule-based text to speech systemen_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84894569770&origin=inwarden_US

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