Real-Time Sign Language and Audio Conversion Using AI

The appearance of audio conversion and the appearance of gesture language have greatly advanced communication technologies, especially for hearing impairment and blind. These double -purpose technologies promote communication between these groups, provide opportunities for expression and speech behind. The technology uses advanced artificial intelligence algorithms to provide real-time speech and sign language translation to improve accessibility and inclusivity. It is essential to protect data privacy, maintain the accuracy of AI models to avoid misinterpretations, and address ergonomic issues associated with long-term use. Technology converts audio entry into a gestic signal that can be seen by avatars using computer vision and natural language processing. There is a depth learning model that improves voice recognition and the acquisition of signs, and is fully adapted to many languages and sign dialects. Addressing such health and safety issues is essential to advancing the communication and optimization of this advanced technology.

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Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1109/ccis63231.2024.10932061
Citations
1
Primary Topic
Hand Gesture Recognition Systems
Type
article
Field-Weighted Citation Impact
0.37
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article

Real-Time Sign Language and Audio Conversion Using AI

Madhava C. Reddy, Loyola Jasmine J, A Boobal, Chaluvadi Bala Venkata Sai Rohith
1 citations
Hand Gesture Recognition Systems
0.37
article

Real-Time Sign Language and Audio Conversion Using AI

Madhava C. Reddy, Loyola Jasmine J, A Boobal, Chaluvadi Bala Venkata Sai Rohith
article en
1 citations

Abstract

The appearance of audio conversion and the appearance of gesture language have greatly advanced communication technologies, especially for hearing impairment and blind. These double -purpose technologies promote communication between these groups, provide opportunities for expression and speech behind. The technology uses advanced artificial intelligence algorithms to provide real-time speech and sign language translation to improve accessibility and inclusivity. It is essential to protect data privacy, maintain the accuracy of AI models to avoid misinterpretations, and address ergonomic issues associated with long-term use. Technology converts audio entry into a gestic signal that can be seen by avatars using computer vision and natural language processing. There is a depth learning model that improves voice recognition and the acquisition of signs, and is fully adapted to many languages and sign dialects. Addressing such health and safety issues is essential to advancing the communication and optimization of this advanced technology.

Kalasalingam Academy of Research and Education (IN)
Openalex Percentile: Top 34%
Hand Gesture Recognition Systems
0.37
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Real-Time Sign Language and Audio Conversion Using AI — Madhava C. Reddy, Loyola Jasmine J, et al. · (2024) | TGRS Research Map | TGRS