ENABLING ALTERNATIVE ACCESSIBLE STRATEGIES FOR PERSONS WITH SPEECH IMPAIRMENT

Authors:

G. Tejo Lakshmi, L. Manjunath, N. Tirupati Rao, N. Purna Chandra Sekhar, K. Mani Deep

Page No: 397-401

Abstract:

As we know that language takes a major portion for communication between two people or many people. But What about deaf people and deaf and dumb people? Over an estimation18 billion people are deaf and There is only one language to them is SIGN LANGUAGE to communicate to others. The main source of communication for speech impaired people is sign language (A language used to communication with others using hands & face expressions). But this sign language is not understandable by normal people. As our project aim to develop the application for make easy to speech impaired people to communicate to others. So, we added two strategies sign language to text/voice and text to speech and in most of the cases speech impaired people are deaf. So, we also want to add two other strategies called text/voice to sign language and speech to text. So, these alternative strategies help the speech impaired people to communicate with other by using our application and this platform will also help the normal persons to communicate with the speech impaired persons.

Description:

Sign Language, Machine Learning, Text, Speech, Random Forest Classifier

Volume & Issue

Volume-12,ISSUE-3

Keywords

.