Sign-Meet Virtual Meeting Platform with Sign Language Recognition

Virtual meetings are a common mode of communication but are largely inaccessible for individuals with hearing and speech impairments. SIGN-MEET is an AI-powered platform integrating sign language recognition, speech-to-text, and avatar-based translation to enable inclusive real-time interaction. The system uses Temporal Convolutional Networks (TCN) for gesture interpretation, Hidden Markov Models (HMM) for speech recognition, and animated avatars for visual sign output. This ensures that deaf, mute, and non-signing users can engage equally in virtual environments.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-06
DOI
https://doi.org/10.5281/zenodo.15348352
Primary Topic
Hand Gesture Recognition Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Sign-Meet Virtual Meeting Platform with Sign Language Recognition

Zenodo (CERN European Organization for Nuclear Research)
Hand Gesture Recognition Systems
article

Sign-Meet Virtual Meeting Platform with Sign Language Recognition

article en

Abstract

Virtual meetings are a common mode of communication but are largely inaccessible for individuals with hearing and speech impairments. SIGN-MEET is an AI-powered platform integrating sign language recognition, speech-to-text, and avatar-based translation to enable inclusive real-time interaction. The system uses Temporal Convolutional Networks (TCN) for gesture interpretation, Hidden Markov Models (HMM) for speech recognition, and animated avatars for visual sign output. This ensures that deaf, mute, and non-signing users can engage equally in virtual environments.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 48%
Hand Gesture Recognition Systems
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Sign-Meet Virtual Meeting Platform with Sign Language Recognition · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS