Mean Foong, O. and Low, T.J. and La, W.W. (2009) V2S: Voice to sign language translation system for Malaysian deaf people. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5857 L. pp. 868-876. ISSN 03029743
Full text not available from this repository.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. © 2009 Springer-Verlag.
Item Type: | Article |
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Additional Information: | cited By 7; Conference of 1st International Visual Informatics Conference, IVIC 2009 ; Conference Date: 11 November 2009 Through 13 November 2009; Conference Code:79347 |
Uncontrolled Keywords: | Empirical results; English languages; Image processing technique; Malaysians; Parameter set; Recognition process; Recognition rates; Sign language; Spectral parameter; Spectral parameters; Speech patterns; Template-based; Video format, Image processing; Imaging systems; Linguistics; Pattern recognition systems; Speech processing; Translation (languages), Speech recognition |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 09 Nov 2023 15:48 |
Last Modified: | 09 Nov 2023 15:48 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/621 |