Bridging Communication Gaps: Real-Time Speech-to-Sign Language
Sri Achyut Vishnubhotla, Venkata Naga Phaneendra Kandanuru, Jesline Daniel, V. Rama Krishna
2025
Abstract
The principal means by which people with hearing disabilities exchange information is through sign language. Sign communication methods become difficult to use when users interact with individuals who have no knowledge of sign language. A Django-based web platform functions as the suggested approach that transforms speech into animated language content for sign language users. The user input processing system relies on three Natural Language Processing methods to function well through tokenization and part-of-speech tagging and incorporates lemmatization. RNNs enable deep learning as an advanced model which improves the system's capacity to recognize sentence structures when used. Next the system turns processed language text into animated sign language animations dedicated for interactive dynamic translation. During operation the developed system generates accurate sign language representations which leads to efficient communication.
DownloadPaper Citation
in Harvard Style
Vishnubhotla S., Kandanuru V., Daniel J. and Krishna V. (2025). Bridging Communication Gaps: Real-Time Speech-to-Sign Language. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 70-73. DOI: 10.5220/0013922900004919
in Bibtex Style
@conference{icrdicct`2525,
author={Sri Vishnubhotla and Venkata Kandanuru and Jesline Daniel and V. Krishna},
title={Bridging Communication Gaps: Real-Time Speech-to-Sign Language},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={70-73},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013922900004919},
isbn={978-989-758-777-1},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Bridging Communication Gaps: Real-Time Speech-to-Sign Language
SN - 978-989-758-777-1
AU - Vishnubhotla S.
AU - Kandanuru V.
AU - Daniel J.
AU - Krishna V.
PY - 2025
SP - 70
EP - 73
DO - 10.5220/0013922900004919
PB - SciTePress