Sign Translation Via Natural Language Processing

Khan, Shadman A. and Ansari, Zulfikar Ali and Singh, Riya and Rawat, Mohit Singh and Khan, Fiza Zafar and Yadav, Shubham Kumar (2021) Sign Translation Via Natural Language Processing. Asian Journal of Research in Computer Science, 11 (1). pp. 1-7. ISSN 2581-8260

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Abstract

Artificial Intelligence (AI) technologies are new technologies with new complicated features emerging quickly. Technology adoption has been beneficial for many general models. The models help in train the voice user-interface assistance (Alexa, Cortona, Siri). Voice assistants are easy to use, and thus millions of devices incorporate them in households nowadays. The primary purpose of the sign language translator prototype is to reduce interaction barriers between deaf and mute. To overcome this problem, we have proposed a prototype. It is named sign language translator with Sign Recognition Intelligence which takes the user input in sign language and processes it, and returns the output in voice out load to the end-user.

Item Type: Article
Subjects: South Archive > Computer Science
Depositing User: Unnamed user with email support@southarchive.com
Date Deposited: 29 Mar 2023 07:01
Last Modified: 01 Jul 2024 13:22
URI: http://ebooks.eprintrepositoryarticle.com/id/eprint/94

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