Title :
Computer-Aided Interpreter for Hearing and Speech Impaired
Author :
Suresh, Prashanth ; Vasudevan, Niraj ; Ananthanarayanan, Nilesh
Author_Institution :
Dept. of Electron. & Commun. Eng, Sri Venkateswara Coll. of Eng., Sriperumbudur, India
Abstract :
The difficulties faced by hearing and speech impaired people in communicating with others and among themselves can be easily overcome by building an assistive communication system. This real time communication system enables differently impaired people to communicate among themselves without an intermediate human translator. The proposed system is a potential human-computer and computer-human interaction for hearing and speech impaired people with normal people. This is achieved using Natural Voice processing and Digital Image Processing algorithms. The algorithm used, takes necessary precautions to combat a noisy environment and is particularly effective for human voice as it represents the speech in the Mel Cepstrum domain (B.P.Bogert, M.J.R.Healy, and J.W.Tukey-1963). A database is used to maintain the back-end of the system and efficient matching algorithms are employed. The system simulation has been done in MATLAB to build this community assistive digital communication system.
Keywords :
cepstral analysis; gesture recognition; handicapped aids; hearing; human computer interaction; image processing; signal representation; speech processing; vision defects; MATLAB; Mel cepstrum domain; assistive digital communication system; computer-aided interpreter; computer-human interaction; digital image processing algorithm; hand gesture; hearing impaired people; human-computer interaction; intermediate human translator; matching algorithm; natural voice processing; noisy environment; normal people; real time communication system; sign language gesture; speech impaired people; speech representation; system simulation; Algorithm design and analysis; Auditory system; Databases; Hidden Markov models; Noise; Speech; Speech recognition; Digital Signal Processing; Dynamic Time Warping Algorithm; Hidden Markov Modeling Algorithm; Image Processing; Mel frequency; Speaker Recognition System; Speech recognition; feature extraction;
Conference_Titel :
Computational Intelligence, Communication Systems and Networks (CICSyN), 2012 Fourth International Conference on
Conference_Location :
Phuket
Print_ISBN :
978-1-4673-2640-7
DOI :
10.1109/CICSyN.2012.53