Grapheme-to-phoneme (G2P) conversion plays an important role in speech processing applications and other fields of computational linguistics. Sinhala must have a grapheme-to-phoneme conversion for speech processing because Sinhala writing system does not always reflect its actual pronunciations. This paper describes a rule based G2P conversion method to convert Sinhala text strings into phonemic representations. We use a previously defined rule set and enhance it to get a more accurate G2P conversion. The performance of our rule-based system shows that the rule based sound patterns are effective on Sinhala G2P conversion.
Cite as: Nadungodage, T., Liyanage, C., Prerera, A., Pushpananda, R., Weerasinghe, R. (2018) Sinhala G2P Conversion for Speech Processing. Proc. 6th Workshop on Spoken Language Technologies for Under-Resourced Languages (SLTU 2018), 112-116, doi: 10.21437/SLTU.2018-24
@inproceedings{nadungodage18_sltu,
author={Thilini Nadungodage and Chamila Liyanage and Amathri Prerera and Randil Pushpananda and Ruvan Weerasinghe},
title={{Sinhala G2P Conversion for Speech Processing}},
year=2018,
booktitle={Proc. 6th Workshop on Spoken Language Technologies for Under-Resourced Languages (SLTU 2018)},
pages={112--116},
doi={10.21437/SLTU.2018-24}
}