SignSync: AI-Powered Audio-Visual Translator for Indian Sign Language

  • Unique Paper ID: 178264
  • Volume: 11
  • Issue: 12
  • PageNo: 8345-8354
  • Abstract:
  • Communication barriers between the deaf community and non-sign language users often limit accessibility in education, employment, and daily interactions. Indian Sign Language (ISL) serves as an essential means of communication for people with hearing impairments. However, the widespread lack of awareness about it among the general populace poses notable challenges. This research proposes an AI-powered system capable of translating spoken and written English into ISL and vice versa, facilitating seamless communication. By utilizing advanced technologies such as Natural Language Processing (NLP), computer vision, and deep learning, the system processes speech and text input to generate accurate ISL gestures through animations or GIFs. The system addresses challenges such as gesture variability, regional differences, and real-time processing through machine learning techniques that enhance recognition accuracy. The implementation of this AI-based translation tool aims to promote inclusivity, enabling the deaf community to engage more effectively in various sectors such as education, workplaces, and public services. This research enhances accessibility, allowing individuals with hearing impairments to communicate effortlessly and participate equally in all aspects of society.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{178264,
        author = {Tejaswini K A and Mekala Sai Lakshmi and Kamini Prajapathi S and Akshatha Y},
        title = {SignSync: AI-Powered Audio-Visual Translator for Indian Sign Language},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {8345-8354},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178264},
        abstract = {Communication barriers between the deaf community and non-sign language users often limit accessibility in education, employment, and daily interactions. Indian Sign Language (ISL) serves as an essential means of communication for people with hearing impairments. However, the widespread lack of awareness about it among the general populace poses notable challenges. This research proposes an AI-powered system capable of translating spoken and written English into ISL and vice versa, facilitating seamless communication. By utilizing advanced technologies such as Natural Language Processing (NLP), computer vision, and deep learning, the system processes speech and text input to generate accurate ISL gestures through animations or GIFs. The system addresses challenges such as gesture variability, regional differences, and real-time processing through machine learning techniques that enhance recognition accuracy. The implementation of this AI-based translation tool aims to promote inclusivity, enabling the deaf community to engage more effectively in various sectors such as education, workplaces, and public services. This research enhances accessibility, allowing individuals with hearing impairments to communicate effortlessly and participate equally in all aspects of society.},
        keywords = {ISL Automation Tool, Indian Sign Language Translation, AI-Powered Sign Language, Speech-To-Sign Conversion, Multimodal Translation, Natural Language Processing, Real-Time Language Interpretation, Machine Learning for Sign Language, Automatic Speech Recognition, Ethical Accessibility.},
        month = {May},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 12
  • PageNo: 8345-8354

SignSync: AI-Powered Audio-Visual Translator for Indian Sign Language

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