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Kathana - fluent speech recognition system based on hidden markov model for Sinhala language

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dc.contributor.author Jayasena, S
dc.contributor.author Wimalawame, K
dc.contributor.author Munasinghe, TR
dc.contributor.author Cooray, NMP
dc.contributor.author Yatawattc, HR
dc.contributor.author Rajapakse, DCP
dc.contributor.editor Gunasekara, C
dc.contributor.editor Wijegunawardana, P
dc.contributor.editor Pavalanathan, U
dc.date.accessioned 2022-12-06T05:28:20Z
dc.date.available 2022-12-06T05:28:20Z
dc.date.issued 2010-09
dc.identifier.citation ****** en_US
dc.identifier.uri http://dl.lib.uom.lk/handle/123/19676
dc.description.abstract This paper discusses speech recognition based on Hidden Markov Model for Sinhala language. There are two main speech technology concepts in this scenario as speech synthesis and speech recognition. Speech synthesis is the artificial production of human speech. Speech recognition is the process of converting an acoustic signal, captured by a microphone or a telephone, to a set of words. This paper is based on KATHANA speech recognition system where the intention is to develop a system which is capable of converting human speech done in Sinhalese to text/ command. en_US
dc.language.iso en en_US
dc.publisher Computer Science & Engineering Society c/o Department of Computer Science and Engineering, University of Moratuwa. en_US
dc.title Kathana - fluent speech recognition system based on hidden markov model for Sinhala language en_US
dc.type Conference-Full-text en_US
dc.identifier.faculty Engineering en_US
dc.identifier.department Department of Computer Science and Engineering en_US
dc.identifier.year 2010 en_US
dc.identifier.conference CS & ES Conference 2010 en_US
dc.identifier.place Moratuwa. Sri Lanka en_US
dc.identifier.pgnos pp. 135-141 en_US
dc.identifier.proceeding Proceedings of the CS & ES Conference 2010 en_US


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