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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.accessioned2018-10-19T04:51:49Z-
dc.date.available2018-10-19T04:51:49Z-
dc.date.issued2013-07-16en_US
dc.identifier.citationComputational Approaches to Assistive Technologies for People with Disabilities. Vol.253, (2013), 139-153en_US
dc.identifier.other2-s2.0-85021331269en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85021331269&origin=inwarden_US
dc.identifier.urihttp://repository.li.mahidol.ac.th/dspace/handle/123456789/31636-
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.en_US
dc.rightsMahidol Universityen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85021331269&origin=inwarden_US
dc.subjectComputer Scienceen_US
dc.titleThai syllable analysis for rule-based text to speech systemen_US
dc.typeChapteren_US
dc.rights.holderSCOPUSen_US
dc.identifier.doi10.3233/978-1-61499-258-5-139en_US
Appears in Collections:Scopus 2011-2015

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