Spoken Malay language influence on automatic transcription and segmentation
The influence of Malay language into modeling a Malay speech lexicon can be potentially useful for a more accurate transcription and segmentation.The problem arises when trying to discriminate the boundaries between similar sounding phonemes for segmentation, especially in dyslexic children‘s spee...
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my.uum.repo.119842014-08-24T03:05:49Z http://repo.uum.edu.my/11984/ Spoken Malay language influence on automatic transcription and segmentation Husni, Husniza Yusof, Yuhanis Kamaruddin, Siti Sakira QA76 Computer software The influence of Malay language into modeling a Malay speech lexicon can be potentially useful for a more accurate transcription and segmentation.The problem arises when trying to discriminate the boundaries between similar sounding phonemes for segmentation, especially in dyslexic children‘s speech when reading, which have been influenced by the surrounding phonemes (before and after) thus making it harder to distinguish.Hence, this paper explores the need to model spoken Malay into the read speech lexical model that takes into consideration context-dependent model.By modeling spoken Malay language into the lexical model, better transcription can potentially be achieved with regards to the speech data with highly phonetically similar reading errors. 2013-08-28 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/11984/1/PID132.pdf Husni, Husniza and Yusof, Yuhanis and Kamaruddin, Siti Sakira (2013) Spoken Malay language influence on automatic transcription and segmentation. In: 4th International Conference on Computing and Informatics (ICOCI 2013), 28 -30 August 2013, Kuching, Sarawak, Malaysia. http://www.icoci.cms.net.my/proceedings/2013/TOC.html |
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QA76 Computer software Husni, Husniza Yusof, Yuhanis Kamaruddin, Siti Sakira Spoken Malay language influence on automatic transcription and segmentation |
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The influence of Malay language into modeling a Malay speech lexicon can be potentially useful for a more accurate transcription
and segmentation.The problem arises when trying to discriminate the boundaries
between similar sounding phonemes for segmentation, especially in dyslexic children‘s speech when reading, which have been influenced by the surrounding phonemes (before and after) thus making it harder to distinguish.Hence, this paper explores the need to model spoken Malay into the read speech lexical model that takes into consideration context-dependent model.By modeling spoken Malay language into the lexical model, better transcription can potentially be achieved with regards to the
speech data with highly phonetically similar reading errors. |
format |
Conference or Workshop Item |
author |
Husni, Husniza Yusof, Yuhanis Kamaruddin, Siti Sakira |
author_facet |
Husni, Husniza Yusof, Yuhanis Kamaruddin, Siti Sakira |
author_sort |
Husni, Husniza |
title |
Spoken Malay language influence on automatic transcription and segmentation |
title_short |
Spoken Malay language influence on automatic transcription and segmentation |
title_full |
Spoken Malay language influence on automatic transcription and segmentation |
title_fullStr |
Spoken Malay language influence on automatic transcription and segmentation |
title_full_unstemmed |
Spoken Malay language influence on automatic transcription and segmentation |
title_sort |
spoken malay language influence on automatic transcription and segmentation |
publishDate |
2013 |
url |
http://repo.uum.edu.my/11984/1/PID132.pdf http://repo.uum.edu.my/11984/ http://www.icoci.cms.net.my/proceedings/2013/TOC.html |
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1644280789999812608 |