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

Foong, Oi Mean and Low , Tan Jung and La, Wai Wan (2009) V2S: Voice to Sign Language Translation System for Malaysian Deaf People. In: 1st International Visual Informatics Conference (IVIC 2009), 11-13 November 2009, Kuala Lumpur, Malaysia.

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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:Conference or Workshop Item (Paper)
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments / MOR / COE:Departments > Computer Information Sciences
ID Code:1175
Deposited By: Foong Oi Mean
Deposited On:14 Apr 2010 06:16
Last Modified:19 Jan 2017 08:25

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