V2S: Voice to Sign Language Translation System for Malaysian Deaf People

Foong, Oi Mean (2009) V2S: Voice to Sign Language Translation System for Malaysian Deaf People. In: Visual Informatics: Bridging Research and Practice. Lecture Notes in Computer Science, LNCS 5857/2009 . Springer Verlag Berlin Heidelberg, pp. 868-876. ISBN 978-3-642-05035-0

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Official URL: http://www.springerlink.com/content/v84wq50001u4n8...

Abstract

The process of learning and understand the sign language may be cumbersome to some, and therefore, this paper proposes a solution to this problem by providing a voice (English Language) to sign language translation system using Speech and Image processing technique. Speech processing which includes Speech Recognition is the study of recognizing the words being spoken, regardless of whom the speaker is. This project uses template-based recognition as the main approach in which the V2S system first needs to be trained with speech pattern based on some generic spectral parameter set. These spectral parameter set will then be stored as template in a database. The system will perform the recognition process through matching the parameter set of the input speech with the stored templates to finally display the sign language in video format. Empirical results show that the system has 80.3% recognition rate.

Item Type: Book Section
Subjects: Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Departments / MOR / COE: Departments > Computer Information Sciences
Depositing User: Foong Oi Mean
Date Deposited: 14 Apr 2010 06:17
Last Modified: 29 Apr 2010 06:22
URI: http://scholars.utp.edu.my/id/eprint/1186

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