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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Paper Title: Hand gesture, Text and Speech Translation and Recognition System for specially abled people using AI
Authors Name: Deepak Kumar Jha , Lakshya Jaiswal , Sanchit Deshmukh , Rishabh Raj , Naresh Thoutam
Unique Id: IJSDR2002076
Published In: Volume 5 Issue 2, February-2020
Abstract: Communication is the process of exchanging ideas, thoughts, feelings and information in form of verbal or non-verbal message. But for a person who cannot hear is visual, but not auditory. This person lacks the amenities which a normal person owns. The sign language is an important and only method of communication for deaf-dumb persons. As sign language is a formal language employing a system of hand gesture for communication. In order to overcome the complexity, the artificial speech system is introduced. An artificial speech system will be very helpful for them to convey their thoughts to others. Using the speech to text conversion technique, on-screen text provides a better way for the people with Hearing impairment to visually read which is in audio. The vocally impaired people can interact with normal people using our work which recognizes sign languages and converts them into on-screen text as well as audio sounds.
Keywords: Gesture recognition, Speech to Text, Text to Speech
Cite Article: "Hand gesture, Text and Speech Translation and Recognition System for specially abled people using AI", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 2, page no.450 - 452, February-2020, Available :http://www.ijsdr.org/papers/IJSDR2002076.pdf
Downloads: 000101775
Publication Details: Published Paper ID: IJSDR2002076
Registration ID:191400
Published In: Volume 5 Issue 2, February-2020
DOI (Digital Object Identifier):
Page No: 450 - 452
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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