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Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/31636
Title: Thai syllable analysis for rule-based text to speech system
Authors: Lalita Narupiyakul
Booncharoen Sirinaovakul
Nick Cercone
Mahidol University
King Mongkuts University of Technology Thonburi
York University
Keywords: Computer Science
Issue Date: 16-Jul-2013
Citation: Computational Approaches to Assistive Technologies for People with Disabilities. Vol.253, (2013), 139-153
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.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85021331269&origin=inward
http://repository.li.mahidol.ac.th/dspace/handle/123456789/31636
Appears in Collections:Scopus 2011-2015

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