• Vasanthakumar B
• Shobika S
• Kannan P
• Mrs.Jaya S S

The accessibility gap for the deaf and hard-of-hearing communities remains a significant challenge in education and societal communication. Traditional methods of translating spoken language into sign language or subtitles often require human intervention, making them inefficient and costly. This paper proposes a Artificial Intelligence-based system for automated sign language generation and subtitle creation from speech and video audio. The system utilizes speech recognition, natural language processing(NLP), and computer vision to convert spoken words into real-time subtitles and corresponding sign language gestures. This approach enhances accessibility in education and public communication, ensuring equal participation for individuals with hearing impairments. The proposed system integrates automatic speech recognition (ASR),sign language synthesis using neural networks, and real-time subtitle generation. By deep learning models trained on extensive datasets, this system aims to bridge the communication gap for the deaf and improve inclusivity across various domains.

Sign Language Generation, Speech-to-sign language, Machine Learning, Accessibility, Deaf Communication, Education Technology.

"Generating subtitle and sign language of the audio using Artificial Intelligence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 4, page no.l740-l745, April-2025, Available :http://www.jetir.org/papers/JETIR2504B92.pdf

"Generating subtitle and sign language of the audio using Artificial Intelligence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 4, page no. ppl740-l745, April-2025, Available at : http://www.jetir.org/papers/JETIR2504B92.pdf