Voice to Sign-Language Translator Using NLP

Authors- Dr. K. Baskar, Mr.S.Azarudeen, S.Mythili, K.Reshma, A.Shalini

Abstract-The Voice-To-Sign-Language Translator is an innovative web-based application developed to address the communication barriers faced by individuals with hearing impairments. This project enables real-time translation of spoken or text inputs into corresponding Indian Sign Language (ISL) animations, leveraging advanced web technologies and natural language processing techniques. The system uses the JavaScript Web Speech API to capture and transcribe speech into text, which is then pre-processed using the Natural Language Toolkit (NLTK) to conform to ISL grammar. A pre-defined database of ISL gestures is utilized to map the processed text to 3D animations crafted in Blender, and these animations are rendered in real-time through a user-friendly interface designed with HTML, CSS, and JavaScript. By eliminating the dependency on human sign language interpreters, this project offers a scalable and efficient solution for inclusive communication, particularly in public events and government functions. The application exemplifies the transformative potential of AI and animation technologies in enhancing accessibility and fostering social empowerment for individuals with hearing and speech impairments.

DOI: /10.61463/ijset.vol.13.issue1.169