Syllable Pronunciation Features for Myanmar Grapheme to Phoneme Conversion

dc.contributor.author	Thu, Ye Kyaw
dc.contributor.author	Pa, Win Pa
dc.contributor.author	Finch, Andrew
dc.contributor.author	Hlaing, Aye Mya
dc.contributor.author	Naing, Hay Mar Soe
dc.contributor.author	Sumita, Eiichiro
dc.contributor.author	Hori, Chiori
dc.date.accessioned	2019-07-02T06:59:53Z
dc.date.available	2019-07-02T06:59:53Z
dc.date.issued	2015-02-05
dc.identifier.uri	http://onlineresource.ucsy.edu.mm/handle/123456789/78
dc.description.abstract	Grapheme-to-Phoneme (G2P) conversion is a necessary step for speech synthesis and speech recognition. This paper addresses the problem of grapheme to phoneme conversion for the Myanmar language. In our method, we propose four simple Myanmar syllable pronunciation patterns as features that can be used to augment the models in a Conditional Random Field (CRF) approach to G2P conversion. Our results show that our additional features are able to improve a strong baseline model that does not include them. We found that combination of all four features gave rise to the highest performancefor Myanmar language G2P conversion.	en_US
dc.language.iso	en	en_US
dc.publisher	Thirteenth International Conferences on Computer Applications(ICCA 2015)	en_US
dc.title	Syllable Pronunciation Features for Myanmar Grapheme to Phoneme Conversion	en_US
dc.type	Article	en_US