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        <identifier>oai:meral.edu.mm:recid/4882</identifier>
        <datestamp>2022-03-24T23:13:38Z</datestamp>
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          <dc:title>Syllable Pronunciation Features for Myanmar Grapheme to Phoneme Conversion</dc:title>
          <dc:creator>Thu, Ye Kyaw</dc:creator>
          <dc:creator>Pa, Win Pa</dc:creator>
          <dc:creator>Finch, Andrew</dc:creator>
          <dc:creator>Hlaing, Aye Mya</dc:creator>
          <dc:creator>Naing, Hay Mar Soe</dc:creator>
          <dc:creator>Sumita, Eiichiro</dc:creator>
          <dc:creator>Hori, Chiori</dc:creator>
          <dc:description>Grapheme-to-Phoneme (G2P) conversion is anecessary step for speech synthesis and speechrecognition. This paper addresses the problem ofgrapheme to phoneme conversion for the Myanmarlanguage. In our method, we propose four simpleMyanmar syllable pronunciation patterns as featuresthat can be used to augment the models in a ConditionalRandom Field (CRF) approach to G2P conversion. Ourresults show that our additional features are able toimprove a strong baseline model that does not includethem. We found that combination of all four featuresgave rise to the highest performancefor Myanmarlanguage G2P conversion.</dc:description>
          <dc:date>2015-02-05</dc:date>
          <dc:identifier>http://hdl.handle.net/20.500.12678/0000004882</dc:identifier>
          <dc:identifier>https://meral.edu.mm/records/4882</dc:identifier>
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