An Innovative Artificial Replacement to Facilitate Communication Between Visually And Hearing- Impaired People

Authors(2) :-Sangeetha R, Elakkiya S

The communication between visually- and hearing-impaired people is donít share any common communication channel. A proposed scheme included algorithms for speech recognition and synthesis to aid communication between visually and hearing-impaired people. The communication environment designed to foster an immersive experience for the visually and hearing impaired. The modality replacement framework combines a set of different modules, sign language analysis and synthesis, speech analysis and synthesis, etc.., an accelerometer-based gesture recognition algorithm. We proposed a new technique called artificial speaking mouth for dumb people. Some peoples are easily able to get the information from their motions, remaining is not able to understand their way of conveying the message. In order to overcome the complexity the artificial mouth is introduced for the dump people. This system is based on the motion sensor. Their message is kept in a database. Likewise all templates are kept in the database. In the real time the template database is fed into a microcontroller and the motion sensor is fixed in their hand. For every action the motion sensors get accelerated and give the signal to the microcontroller. The microcontroller matches the motion with the database and produces the speech signal.

Authors and Affiliations

Sangeetha R
Research Scholar, VLSI,Vandayar Engineering College, Thanjavur, Tamilnadu, India
Elakkiya S
Assistant Professor of ECE in VandayarEngineering College,Thanjavur, Tamilnadu, India

Sign language synthesis, ANN, speech synthesis, feature selection, feature extraction

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Publication Details

Published in : Volume 3 | Issue 5 | May-June 2018
Date of Publication : 2018-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 503-511
Manuscript Number : CSEIT1835116
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Sangeetha R, Elakkiya S, "An Innovative Artificial Replacement to Facilitate Communication Between Visually And Hearing- Impaired People", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 5, pp.503-511, May-June-2018.
Journal URL : http://ijsrcseit.com/CSEIT1835116

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