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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM46813
Volume:
9 |
5 |
May 2025
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.
The project “Speech to Sign Language Converter” presents a user-friendly and inclusive solution aimed at bridging communication gaps for the hearing-impaired. Utilizing advanced speech-to-text algorithms, natural language processing (NLP), and emotion recognition, the system converts spoken audio into Indian Sign Language (ISL) representations. A key feature is the integration of Google APIs to retrieve contextual images that enhance the expressiveness of the sign output. By embedding emotional cues within sign gestures, the system provides a more humanized and accurate communication experience. This paper outlines the technical framework, implementation methodology, and potential impact of this AI-powered assistive tool.
KEYWORDS
Publication Date
3/4/2025
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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No funding information available for this research.
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