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Word-based Myanmar Text-to-Speech with CLUSTERGEN

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dc.contributor.author Hlaing, Aye Mya
dc.contributor.author Pa, Win Pa
dc.date.accessioned 2019-07-03T08:22:56Z
dc.date.available 2019-07-03T08:22:56Z
dc.date.issued 2018-02-22
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/338
dc.description.abstract In Myanmar language, word information is important for the naturalness of Myanmar speech because pronunciation changes depend on word information. In this paper, Myanmar speech synthesis with word information has been implemented by using CLUSTERGEN. The comparison of the naturalness of Myanmar synthesized speech by using HMM-based model with syllable information and CLUSTERGEN model with word information has been conducted based on Comparison Mean Opinion Score (CMOS). The results show that word information can promote the naturalness of the synthesized speech for Myanmar language. en_US
dc.language.iso en en_US
dc.publisher Sixteenth International Conferences on Computer Applications(ICCA 2018) en_US
dc.title Word-based Myanmar Text-to-Speech with CLUSTERGEN en_US
dc.type Article en_US

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