Speech to Indian Sign Language Translator

DOI

10.2991/ahis.k.210913.035How to use a DOI?

Keywords

Computational Linguistics, Lemmatizing, Natural Language Processing, Python, Sign Language, Web-scraping

Abstract

A Sign Language is a non-verbal communication system in which people communicates by visually transferring sign patterns to express their meaning. A large section of the hearing and speech impaired in India uses Indian Sign Language (ISL) as their mode of communication. Recognition of sign language was significant not only from a technical standpoint but also in terms of societal influence. An automatic speech-to-ISL translation system could help the hearing-impaired access more information and services due to the inherent limitations of communicating through written texts. Furthermore, the system can be utilised as an educational tool to learn ISL in addition to improving information access. This paper intends to bridge the gap by providing a system that anybody can use without having to learn ISL.

Copyright

© 2021, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Alisha Kulkarni
AU  - Archith Vinod Kariyal
AU  - V Dhanush
AU  - Paras Nath Singh
PY  - 2021
DA  - 2021/09/13
TI  - Speech to Indian Sign Language Translator
BT  - Proceedings of the 3rd International Conference on Integrated Intelligent Computing Communication & Security (ICIIC 2021)
PB  - Atlantis Press
SP  - 278
EP  - 285
SN  - 2589-4900
UR  - https://doi.org/10.2991/ahis.k.210913.035
DO  - 10.2991/ahis.k.210913.035
ID  - Kulkarni2021
ER  -