Design and Development of a Real-Time SignLanguage Interpreter: Bridging Sign Recognitionand Speech Conversion
International Journal of Computer Techniques
Volume 12 Issue 3, May-June 2025
ISSN: 2394-2231 | https://ijctjournal.org/ | Page 2
Saurabh Suman1, Ram Kumar Sharma2
1Information Technology, Noida Institute of Engineering and Technology (NIET), AKTU, Greater Noida, India. Email: saurabhsinghsuman585@gmail.com
2Information Technology, Noida Institute of Engineering and Technology (NIET), AKTU, Greater Noida, India. Email: ramkumar.sharma@niet.co.in
Abstract
The growing desire for accessible communication among the deaf and hard-of-hearing has led to the creation of real-time sign language interpreters. This study focuses on the development and implementation of a comprehensive system that combines sign language recognition and speech-to-sign conversion. The system uses powerful machine learning models, web technologies, and APIs to translate sign language into spoken language and vice versa, allowing for seamless communication between hearing and non-hearing people. The paper describes the system architecture, significant challenges like accuracy, latency, and scalability, and the strategies used to address them. Our findings show that using modern AI approaches and real-time processing frameworks can considerably improve accessibility and bridge communication barriers across various linguistic modes.
Keywords
Sign Language Recognition, Computer Vision, Machine Learning, API Integration, NLP, Speech-to-Sign Conversion, Web Technologies
References
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How to Cite
Saurabh Suman, Ram Kumar Sharma, “Design and Development of a Real-Time Sign Language Interpreter: Bridging Sign Recognition and Speech Conversion,” International Journal of Computer Techniques, Volume 12, Issue 3, May-June 2025. ISSN: 2394-2231
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