(Publisher of Peer Reviewed Open Access Journals)

International Journal of Advanced Computer Research (IJACR)

ISSN (Print):2249-7277    ISSN (Online):2277-7970
Volume-4 Issue-16 September-2014
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Paper Title : Speech Recognition Technology for Hearing Disabled Community
Author Name : Tanvi Dua, Jitesh Punjabi, Chandni Sajnani, Aditya Advani, Shanthi Therese S.
Abstract :

As the number of people with hearing disabilities are increasing significantly in the world, it is always required to use technology for filling the gap of communication between Deaf and Hearing communities. To fill this gap and to allow people with hearing disabilities to communicate this paper suggests a framework that contributes to the efficient integration of people with hearing disabilities. This paper presents a robust speech recognition system, which converts the continuous speech into text and image. The results are obtained with an accuracy of 95% with the small size vocabulary of 20 greeting sentences of continuous speech form tested in a speaker independent mode. In this testing phase all these continuous sentences were given as live input to the proposed system.

Keywords : Speech Recognition, Mel-Scale Frequency Cepstral Coefficients (MFCC), Vector Quantization (VQ) .
Cite this article : Tanvi Dua, Jitesh Punjabi, Chandni Sajnani, Aditya Advani, Shanthi Therese S., " Speech Recognition Technology for Hearing Disabled Community " , International Journal of Advanced Computer Research (IJACR), Volume-4, Issue-16, September-2014 ,pp.882-887.