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Automatic Segmentation of Separately Pronounced Sinhala Words into Syllables

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dc.contributor.author Priyadarshani, P.G.N.
dc.contributor.author Dias, N.G.J.
dc.date.accessioned 2015-02-27T05:59:42Z
dc.date.available 2015-02-27T05:59:42Z
dc.date.issued 2011
dc.identifier Statistics and Computer Science en_US
dc.identifier.citation Priyadarshani, P.G.N. and Dias, N.G.J. (2011). Automatic Segmentation of Separately Pronounced Sinhala Words into Syllables, Journal of Science, University of Kelaniya, 6: 35-44. en_US
dc.identifier.uri
dc.identifier.uri http://repository.kln.ac.lk/handle/123456789/5443
dc.description.abstract Aligned corpora are widely used in various speech applications like automatic speech recognition, speech synthesis, as well as prosodic and phonetic research. The segmentation into syllables can be done manually or automatically. But it consumes significantly more time for a fully manual phonetic segmentation and practically it is a complicated task because in many cases it requires a large aligned speech corpus. If the manual syllabification is done by a group of individuals then the consistency is decreased because the analysis variations of the individuals. Consequently, there is a dire need for automatic syllabification and it is important because Sinhala language is syllable centric in nature. A method for syllabification of acoustic signals of separately pronounced Sinhala words has been given. Detecting the syllable boundaries was achieved by two main phases and those phases have been described with examples. Keywords: en_US
dc.language.iso en en_US
dc.publisher University of Kelaniya en_US
dc.subject syllabification en_US
dc.subject oscillograph en_US
dc.subject vowel en_US
dc.subject consonant en_US
dc.subject envelope en_US
dc.subject threshold en_US
dc.title Automatic Segmentation of Separately Pronounced Sinhala Words into Syllables en_US
dc.type Article en_US


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