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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Main Authors: Husni, Husniza, Yusof, Yuhanis, Kamaruddin, Siti Sakira
Format: Conference or Workshop Item
Language:English
Published: 2013
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Online Access: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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Institution: Universiti Utara Malaysia
Language: English
id my.uum.repo.11984
record_format eprints
spelling 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
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Husni, Husniza
Yusof, Yuhanis
Kamaruddin, Siti Sakira
Spoken Malay language influence on automatic transcription and segmentation
description 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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