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Statistical parametric evaluation on new corpus design for malay speech articulation disorder early diagnosis

Mazenan, Mohd Nizam and Tan, Tian Swee and Tan , Hui Ru and Azhim, Azran (2015) Statistical parametric evaluation on new corpus design for malay speech articulation disorder early diagnosis. American Journal of Applied Sciences, 12 (7). pp. 452-462. ISSN 1546-9239

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Abstract

Speech-to-Text or always been known as speech recognition plays an important role nowadays especially in medical area specifically in speech impairment. In this study, a Malay language speech-to-Text system was been designed by using Hidden Markov Model (HMM) as a statistical engine with emphasizing the way of Malay speech corpus design specifically for Malay articulation speech disorder. This study also describes and tests the correct number of state to analyze the changes in the performance of current Malay speech recognition in term of recognition accuracy. Statistical parametric representation method was utilized in this study and the Malay corpus database was constructed to be balanced with all the phonetic placed and manner of articulation sample appeared in Malay speech articulation therapy. The results were achieved by conducting few experiments by collecting sample from 80 patient speakers (child and adult) and contain for almost 30,720 sample training data.

Item Type: Article (Journal)
Additional Information: 7380/49468
Uncontrolled Keywords: Speech-to-Text, Hidden Markov Model, Feature Extraction, Malay Corpus
Subjects: R Medicine > R Medicine (General)
R Medicine > RA Public aspects of medicine
R Medicine > RM Therapeutics. Pharmacology > RM695 Physical medicine. Physical therapy
R Medicine > RZ Other systems of medicine
T Technology > TP Chemical technology > TP248.13 Biotechnology
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Science > Department of Biotechnology
Depositing User: Ir Dr Azran Azhim Noor Azmi
Date Deposited: 04 Feb 2016 15:37
Last Modified: 07 Feb 2018 15:05
URI: http://irep.iium.edu.my/id/eprint/49468

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