SIGNBRIDGE – Audio to Sign Language Translator Using NLP

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B.Ritheesh Reddy; CH.Gayathri; T.Nikitha; V.Charan teja; J.Naresh Kumar

SIGNBRIDGE – Audio to Sign Language Translator Using NLP

Authors: B.Ritheesh Reddy, CH.Gayathri, T.Nikitha, V.Charan teja, J.Naresh Kumar

Unique Paper ID: 180974
Volume: 12
Issue: 1
PageNo: 3464-3469

Keywords: Natural Language Processing (NLP) Speech Recognition Sign Language Translation Assistive Technology Audio Processing Gesture Mapping Human-Computer Interaction (HCI) Accessibility.

Abstract:
This project introduces an innovative approach to bridging the communication gap between the hearing and speech-impaired communities through real time sign language translation. SIGNBRIDGE harnesses the power of Natural Language Processing (NLP) to convert spoken audio into accurate sign language representations. By analyzing speech input, the system processes linguistic content, removes ambiguity, and maps it to corresponding sign gestures. Through advanced language modeling and gesture mapping algorithms, SIGNBRIDGE enables effective two-way communication, making public services, education, and emergency responses more inclusive. This project has the potential to transform assistive technology, enhancing accessibility and empowering millions with seamless interaction in diverse environments.

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Cite This Article

ISSN: 2349-6002
Volume: 12
Issue: 1
PageNo: 3464-3469

SIGNBRIDGE – Audio to Sign Language Translator Using NLP

Available:https://ijirt.org/article?manuscript=180974

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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