Husni, Husniza and Jamaludin, Zulikha (2009) Pronunciation variations and context-dependent model to improve ASR performance for dyslexic children’s read speech. In: International Conference on Computing and Informatics 2009 (ICOCI09), 24-25 June 2009, Legend Hotel, Kuala Lumpur.

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Abstract

Focusing on the key element for an ASR-based application for dyslexic children reading isolated words in Bahasa Melayu, this paper can be an evidence of the need to have a carefully designed acoustic model for a satisfying recognition accuracy of 79.17% on test dataset. Pronunciation variations and context-dependent model are two main components of such acoustic model. This model adopts the most frequent errors in reading selected vocabulary, which are obtained from primary data collection and analysis.The analysis gives the most frequent spelling and reading errors as vowel substitution with over 20% of total errors made.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	ISBN 978-983--44150-2-0 Organized by: UUM College of Arts and Sciences, Universiti Utara Malaysia.
Uncontrolled Keywords:	Dyslexic children, automated speech recognition (ASR),reading, speech error pattern, Bahasa Melayu vocabulary.
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Divisions:	College of Arts and Sciences
Depositing User:	Mrs. Norazmilah Yaakub
Date Deposited:	07 Apr 2015 03:07
Last Modified:	07 Apr 2015 03:07
URI:	https://repo.uum.edu.my/id/eprint/13594

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