Speech Recognition Technology for Hearing Disabled Community
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.
Keyword
Speech Recognition, Mel-Scale Frequency Cepstral Coefficients (MFCC), Vector Quantization (VQ) .