Work

AI-Enabled Speech to Sign Language using Avatar

Year: 2025

Type: article

Abstract: Communication barriers faced by individuals with hearing impairments can significantly impact their daily interactions. This paper presents a Speech-to-Sign Translation and Accessibility System that leverages Artificial Intelligence (AI) and Natural Language Processing (NLP) to convert spoken language into real- time sign language. The system utilizes speech recognition algorithms to capture and process spoken words, which are then translated into sign language gestures displayed via an animated avatar. By integrating machine learning models and a gesture synthesis engine, the system ensures accurate and context-aware translations. Additionally, it offers a user-friendly interface to enhance accessibility for individuals with hearing disabilities. The solution aims to bridge the communication gap, promote inclusivity, and provide a seamless interaction experience for the deaf and hard-of- hearing community in various public and private settings.

Source: International Journal of Advanced Research in Science Communication and Technology

DOI: 10.48175/ijarsct-23960

Authors: J. John Merina, M. Aasha, A. Priyadharshini, K. Varsha

Language: English

Topic: Hand Gesture Recognition Systems

Subfield: Human-Computer Interaction

Field: Computer Science

Domain: Physical Sciences

SDG: Reduced inequalities

Open Access status: diamond

OpenAlex ID: W4408651994

FWCI:

Cites: 5

Cited by:

Related to: 10