Dyslexic children's reading pattern as input for ASR: Data, analysis, and pronunciation model
To realize an automatic speech recognition (ASR) model that is able to recognize the Bahasa Melayu reading difficulties of dyslexic children, the language corpora has to be generated beforehand. For this purpose, data collection is performed in two public schools involving ten dyslexic children age...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Universiti Utara Malaysia Press
2009
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| Subjects: | |
| Online Access: | https://repo.uum.edu.my/id/eprint/290/1/Husniza_Husni_and_Zulikha_Jamaludin.pdf |
| _version_ | 1803624101126864896 |
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| author | Husni, Husniza Jamaludin, Zulikha |
| author_facet | Husni, Husniza Jamaludin, Zulikha |
| author_sort | Husni, Husniza |
| collection | UUM |
| description | To realize an automatic speech recognition (ASR) model that
is able to recognize the Bahasa Melayu reading difficulties of dyslexic children, the language corpora has to be generated beforehand. For this purpose, data collection is performed in two public schools involving ten dyslexic children aged between seven to fourteen years old. A total of 114 Bahasa Melayu words,representing 23 consonant-vowel patterns in the spelling system of the language, served as the stimuli. The patterns range from simple to somewhat complex formations of consonant-vowel pairs in words listed in a level one primary school syllabus. An analysis was performed aimed at identifying the most frequent errors made by these dyslexic children when reading aloud, and
describing the emerging reading pattern of dyslexic children
in general. This paper hence provides an overview of the
entire process from data collection to analysis to modeling the pronunciations of words which will serve as the active lexicon for the ASR model. This paper also highlights the challenges of data collection involving dyslexic children when they are reading aloud, and other factors that contribute to the complex nature of the data collected. |
| first_indexed | 2024-07-04T05:13:01Z |
| format | Article |
| id | uum-290 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T05:13:01Z |
| publishDate | 2009 |
| publisher | Universiti Utara Malaysia Press |
| record_format | dspace |
| spelling | uum-2902010-12-13T03:41:55Z https://repo.uum.edu.my/id/eprint/290/ Dyslexic children's reading pattern as input for ASR: Data, analysis, and pronunciation model Husni, Husniza Jamaludin, Zulikha QA76 Computer software To realize an automatic speech recognition (ASR) model that is able to recognize the Bahasa Melayu reading difficulties of dyslexic children, the language corpora has to be generated beforehand. For this purpose, data collection is performed in two public schools involving ten dyslexic children aged between seven to fourteen years old. A total of 114 Bahasa Melayu words,representing 23 consonant-vowel patterns in the spelling system of the language, served as the stimuli. The patterns range from simple to somewhat complex formations of consonant-vowel pairs in words listed in a level one primary school syllabus. An analysis was performed aimed at identifying the most frequent errors made by these dyslexic children when reading aloud, and describing the emerging reading pattern of dyslexic children in general. This paper hence provides an overview of the entire process from data collection to analysis to modeling the pronunciations of words which will serve as the active lexicon for the ASR model. This paper also highlights the challenges of data collection involving dyslexic children when they are reading aloud, and other factors that contribute to the complex nature of the data collected. Universiti Utara Malaysia Press 2009 Article PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/290/1/Husniza_Husni_and_Zulikha_Jamaludin.pdf Husni, Husniza and Jamaludin, Zulikha (2009) Dyslexic children's reading pattern as input for ASR: Data, analysis, and pronunciation model. Journal of Information and Communication Technology, 8. pp. 1-13. ISSN 2180-3862 http://jict.uum.edu.my |
| spellingShingle | QA76 Computer software Husni, Husniza Jamaludin, Zulikha Dyslexic children's reading pattern as input for ASR: Data, analysis, and pronunciation model |
| title | Dyslexic children's reading pattern as input for ASR: Data, analysis, and pronunciation model |
| title_full | Dyslexic children's reading pattern as input for ASR: Data, analysis, and pronunciation model |
| title_fullStr | Dyslexic children's reading pattern as input for ASR: Data, analysis, and pronunciation model |
| title_full_unstemmed | Dyslexic children's reading pattern as input for ASR: Data, analysis, and pronunciation model |
| title_short | Dyslexic children's reading pattern as input for ASR: Data, analysis, and pronunciation model |
| title_sort | dyslexic children s reading pattern as input for asr data analysis and pronunciation model |
| topic | QA76 Computer software |
| url | https://repo.uum.edu.my/id/eprint/290/1/Husniza_Husni_and_Zulikha_Jamaludin.pdf |
| work_keys_str_mv | AT husnihusniza dyslexicchildrensreadingpatternasinputforasrdataanalysisandpronunciationmodel AT jamaludinzulikha dyslexicchildrensreadingpatternasinputforasrdataanalysisandpronunciationmodel |