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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM51479

AI-Powered Accessibility: Enabling Effective Communication for Hearing and Speech Impaired in Virtual Platforms

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM51479

Volume:

9 |

7 |

Jul 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

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.

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Authors

DB

Dr.AB.Hajira Be1

MT

M. Thilothana

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Abstract

This project presents an AI- driven system to enhance inclusivity in virtual meetings for individuals with hearing and speech impairments. It features three core modules: a Sign Recognition Module (SRM) using Temporal Convolutional Networks to interpret Indian Sign Language, a Speech Recognition and Synthesis Module (SRSM) converting speech to text via Hidden Markov Models, and an Avatar Module (AM) that translates speech into sign language visually.

KEYWORDS

AI for Accessibility Indian Sign Language Recognition Temporal Convolutional Networks Speech-to-Text using HMM.

Cite This Article

Dr.AB.Hajira Be1, M. Thilothana, "AI-Powered Accessibility: Enabling Effective Communication for Hearing and Speech Impaired in Virtual Platforms," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 7, Jul 2025.

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Publication Date

7/21/2025

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Double-Blind Peer Review

Review Rounds: 2

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5

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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