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     Research Journal of Applied Sciences, Engineering and Technology

    Abstract
2014(Vol.7, Issue:21)
Article Information:

Malay Wordlist Modeling for Articulation Disorder Patient by Using Computerized Speech Diagnosis System

Mohd Nizam Mazenan and Tian-Swee Tan
Corresponding Author:  Tian-Swee Tan 
Submitted: January 02, 2014
Accepted: February 15, 2014
Published: June 05, 2014
Abstract:
The aim of this research was to assess the quality and the impact of using computerized speech diagnosis system to overcome the problem of speech articulation disorder among Malaysian context. The prototype of the system is already been develop in order to help Speech Therapist (ST) or Speech Language Pathologist (SLP) in diagnosis, preventing and treatment for an early stage. Few assessments will be conducted by ST over the patient and mostly the process is still using manual technique whereby the ST relies from their human hearing and their years of experience. This study will surveys the technique and method use by ST at Hospital Sultanah Aminah (HSA) (Speech therapist at Speech Therapy Center) to help patient that suffer from speech disorder especially in articulation disorder cases. Few experiment and result had also been present in this study where the computerized speech diagnosis system is being tested by using real patient voice sample that been collected from HSA and the students from Sekolah Kebangsaan Taman Universiti Satu.

Key words:  Articulation disorder, computerized speech diagnosis system, Hidden Markov Model (HMM), , , ,
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Cite this Reference:
Mohd Nizam Mazenan and Tian-Swee Tan, . Malay Wordlist Modeling for Articulation Disorder Patient by Using Computerized Speech Diagnosis System. Research Journal of Applied Sciences, Engineering and Technology, (21): 4535-4540.
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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