Application of Malay speech technology in Malay speech therapy assistance tools

Tian Swee Tan, Helbin-Liboh, A. K. Ariff, Chee Ming Ting, Sh Hussain Salleh

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

41 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007
Pages330-334
Number of pages5
DOIs
Publication statusPublished - 2007
Externally publishedYes
EventInternational Conference on Intelligent and Advanced Systems 2007 - Kuala Lumpur, Malaysia
Duration: 25 Nov 200728 Nov 2007
https://ieeexplore.ieee.org/xpl/conhome/4638683/proceeding (Proceedings)

Conference

ConferenceInternational Conference on Intelligent and Advanced Systems 2007
Abbreviated titleICIAS 2007
Country/TerritoryMalaysia
CityKuala Lumpur
Period25/11/0728/11/07
Internet address

Keywords

  • HMM
  • Speech recognition
  • Speech therapy

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