Talking Fingers – Real Time Multilingual Speech To Sign Language Translator

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Ramesh T; Anusha Shekar Gouda Malipatil; Sneha S Ballari; Thaksha Prabhakar; Sneha A

Talking Fingers – Real Time Multilingual Speech To Sign Language Translator

Authors: Ramesh T, Anusha Shekar Gouda Malipatil, Sneha S Ballari, Thaksha Prabhakar, Sneha A

Unique Paper ID: 172193
Volume: 11
Issue: 8
PageNo: 2297-2302

Keywords: Real-Time India Sign Language Speech Recognition Natural Language Processing.

Abstract:
Talking Fingers is a web-based application designed to translate spoken or typed text into Indian Sign Language (ISL) animations. The system addresses the communication gap between the deaf and hearing communities, supporting multilingual transcription for Kannada, Hindi, Tamil, Telugu, and English. Speech-to-text conversion is achieved using the Web Speech API, while text translation is processed using the googletrans Python library. Natural Language Processing (NLP) via NLTK enables efficient text preprocessing and mapping to ISL animations, dynamically displayed through a user-friendly web interface. The application is built on Django and demonstrates scalability and potential for real-world impact in fostering inclusivity.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 8
PageNo: 2297-2302

Talking Fingers – Real Time Multilingual Speech To Sign Language Translator

Available:https://ijirt.org/article?manuscript=172193

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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