A Grapheme to Phoneme Converter for Standard Malay
This paper describes the process of creating a grapheme-to-phoneme (G2P) converter for Standard Malay (SM). A fundamental step to building TTS and ASR engines, is to build a good G2P system that can automatically generate accurate phonemic representations for words. Our goal is to generate phonemes...
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2005
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sg-smu-ink.lkcsb_research-37802018-07-09T08:07:34Z A Grapheme to Phoneme Converter for Standard Malay LI, Haizhou Aljunied, Mahani Teoh, Boon Seong This paper describes the process of creating a grapheme-to-phoneme (G2P) converter for Standard Malay (SM). A fundamental step to building TTS and ASR engines, is to build a good G2P system that can automatically generate accurate phonemic representations for words. Our goal is to generate phonemes that reflect real speech, thereby facilitating more accurate phoneme alignment with actual waveforms (obtained from voice-data collection), keeping human intervention to the minimum. Here we discuss the key areas in SM that require considerable phonemic alterations including letter elisions, consonant insertions, multiple ways of uttering a letter/diagraph – areas that any good G2P system for SM should address. The application of these rules to two sets of corpus will also be discussed, and their generated phonemes examined for both accuracy measurement as well as for further rule refinements. 2005-12-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/lkcsb_research/2781 https://ink.library.smu.edu.sg/context/lkcsb_research/article/3780/viewcontent/auto_convert.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection Lee Kong Chian School Of Business chi Institutional Knowledge at Singapore Management University Speech recognition Speech synthesis Grapheme-to-Phoneme Malay language Physical Sciences and Mathematics |
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Speech recognition Speech synthesis Grapheme-to-Phoneme Malay language Physical Sciences and Mathematics LI, Haizhou Aljunied, Mahani Teoh, Boon Seong A Grapheme to Phoneme Converter for Standard Malay |
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This paper describes the process of creating a grapheme-to-phoneme (G2P) converter for Standard Malay (SM). A fundamental step to building TTS and ASR engines, is to build a good G2P system that can automatically generate accurate phonemic representations for words. Our goal is to generate phonemes that reflect real speech, thereby facilitating more accurate phoneme alignment with actual waveforms (obtained from voice-data collection), keeping human intervention to the minimum. Here we discuss the key areas in SM that require considerable phonemic alterations including letter elisions, consonant insertions, multiple ways of uttering a letter/diagraph – areas that any good G2P system for SM should address. The application of these rules to two sets of corpus will also be discussed, and their generated phonemes examined for both accuracy measurement as well as for further rule refinements. |
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text |
author |
LI, Haizhou Aljunied, Mahani Teoh, Boon Seong |
author_facet |
LI, Haizhou Aljunied, Mahani Teoh, Boon Seong |
author_sort |
LI, Haizhou |
title |
A Grapheme to Phoneme Converter for Standard Malay |
title_short |
A Grapheme to Phoneme Converter for Standard Malay |
title_full |
A Grapheme to Phoneme Converter for Standard Malay |
title_fullStr |
A Grapheme to Phoneme Converter for Standard Malay |
title_full_unstemmed |
A Grapheme to Phoneme Converter for Standard Malay |
title_sort |
grapheme to phoneme converter for standard malay |
publisher |
Institutional Knowledge at Singapore Management University |
publishDate |
2005 |
url |
https://ink.library.smu.edu.sg/lkcsb_research/2781 https://ink.library.smu.edu.sg/context/lkcsb_research/article/3780/viewcontent/auto_convert.pdf |
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1770570560737116160 |