Speak-to-Sign: A Real-Time NLP-Driven Framework for Indian Sign Language Translation: A Review
S. Sudeshna, Balabhadra Nikhitha, B. Vinaya, D. Dhanasree, Dhanireddy Chandrika · Advances in intelligent systems research/Advances in Intelligent Systems Research · 2025
The primary impact of communication barriers on the lives of many deaf or hard-of-hearing individuals lies in their ability to understand and comprehend most spoken languages.Accordingly, this paper presents an effective system which can convert speech to Indian Sign Language (ISL) via images and gifs.The proposed system utilizes Python with Google's Speech Recognizer API contact to convert speech to text and then applies NLP on the text to generate ISL tokens that are rendered as gestures for user-friendly access to the deaf.The major features include efficient speech-to-text conversion and NLP-driven accurate processing and gesture generation in ISL to augment the efficiency of existing solutions in translation, processing speed, and privacy issues.The system promotes flexibility via the most current algorithms and a modular design to be easily added features or modified in the future.It enhances access to education, employment, and social participation for the hearing impaired and proclaimed as a contribution toward a better society.This offers more than just an aid for communication systems; it promotes inclusivity and technology itself among innovations.