Tan, Tian-Swee and Helbin, Liboh and Ariff, A. K. and Ting, Chee-Ming and Salleh, Sh-Hussain (2007) Application of Malay speech technology in Malay speech therapy assistance tools. In: Application of Malay speech technology in Malay speech therapy assistance tools. IEEE, USA, pp. 330-334. ISBN 978-1-4244-1355-3
Full text not available from this repository.
Official URL: http://apps.isiknowledge.com
Malay Speech Therapy Assistance Tools (MSTAT) is a system which assists the therapist to diagnose children for language disorder and to train children with stuttering problem. The main engine behind it is the speech technologies; consist of speech recognition system, Malay text-to-speech system and Malay Talking Head [1-4]. In this project, speech recognition system utilizes the Hidden Markov Model (HMM) technique for evaluating speech problem for children such as stuttering. The voice pattern of the normal and speech disorder children are used to train the HMM model for classifying the problem of speech disorder. Thus, the system is localized with local dialect voice database which focus on local Malay dialect that is currently not available in market. Besides that, the system also utilizes Malay text-to-speech system and Talking Head to guide and lead the children or parents to follow the diagnostic process. This feature makes the system more interactive and not only single direction of communication.
|Item Type:||Book Section|
|Additional Information:||International Conference on Intelligent and Advanced Systems Kuala Lumpur, Malaysia,, Nov. 25-28, 2007|
|Uncontrolled Keywords:||speech therapy, speech recognition, HMM|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
Q Science > QA Mathematics > QA76 Computer software
|Divisions:||Biomedical Engineering and Health Science (Formerly known)|
|Deposited By:||Nor Asmida Abdullah|
|Deposited On:||28 Dec 2010 02:05|
|Last Modified:||28 Dec 2010 02:05|
Repository Staff Only: item control page