Speech to Indian Sign Language

Authors

  • AVS Radhika  Assistant Professor, Department of CSE, Bhoj Reddy Engineering College for Women, Hyderabad, Telangana, India
  • Penke Sunitha  Department of CSE, Bhoj Reddy Engineering College for Women, Hyderabad, Telangana, India
  • Rella Varditha  Department of CSE, Bhoj Reddy Engineering College for Women, Hyderabad, Telangana, India

Keywords:

NLP, Speech to Text, Sign Language Translation

Abstract

This project's primary purpose is to bridge the gap between deaf and hearing persons, which will benefit those with hearing impairments who employ a simple and effective way of sign language. Sign language is a visual language used by the deaf community. It employs body language, hand gestures, and facial expressions. Indian Sign Language is one of the most significant and commonly utilised modes of communication for individuals with speech and hearing difficulties. This web application facilitates communication for deaf and speech-impaired individuals. The primary focus of these new web application and natural language processing technologies is the conversion of spoken or written language into sign language. In this web application, users can record their speech using a microphone or text as input utilising NLP-based speech recognition. If the video is missing from the database, the word is spit out and the associated video is displayed. This technique has made communicating with deaf individuals simple and practical.

References

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Published

2023-07-09

Issue

Section

Research Articles

How to Cite

[1]
AVS Radhika, Penke Sunitha, Rella Varditha "Speech to Indian Sign Language" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 10, Issue 4, pp.69-72, July-August-2023.