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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM39824
Volume:
8 |
12 |
Dec 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Due to high demand for inclusive technologies and the rapid electrons communication age, there is growing interest in automatic audio to sign language conversion systems. This article has given the relevant way to solve this problem by converting spoken language into sign languages in real time using machine translation that can shape communication path for deaf and dumb community. In our method, we use Natural Language Processing (NLP) to transcribe audio into text and then deep learning for sign language generation. The system recognizes
KEYWORDS
Publication Date
12/16/2024
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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