To Review on Speech-to-Sign Language Conversion System Using Natural Language Processing

To Review on Speech-to-Sign Language Conversion System Using Natural Language Processing

Mr. Ajit R. Chougale1, Dr. Sangram T. Patil2, Dr. Jaydeep B. Patil3

1Student Department of CSE(DS), D Y Patil agriculture and technical University Talsande Kolhapur

2 Dean, School Of Engineering & Technology, D Y Patil agriculture and technical University Talsande
3 Associate Professor & HoD CSE, D Y Patil agriculture and technical University Talsande Kolhapur

1chougaleajit111@gmail.com, 2sangrampatil@dyp-atu.org , 3jaydeeppatil@dyp-atu.org

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Abstract -The project aims to bridge the communication gap between hearing individuals and the deaf community by developing a speech-to-sign language conversion system. This system transforms spoken language into corresponding sign language gestures, enabling real-time, inclusive communication. Leveraging advanced speech recognition algorithms and natural language processing (NLP), the spoken input is converted into text. The text is then analysed, segmented into meaningful components, and mapped to sign language gestures displayed as animations or visuals. This approach prioritizes accessibility and ease of use, ensuring that individuals with hearing impairments can participate seamlessly in conversations. The system's modular design allows adaptability for sign languages and continuous improvement through machine learning techniques. By combining cutting-edge technology with a user-centric focus, this project provides an innovative tool for enhancing inclusivity in communication.

Key Words:Speech recognition ,  Real-Time Translation,  Natural Language Processing, Sign Language Animation, Deaf Accessibility,  Speech Recognition,  Communication Bridge,  Text preprocessing, NLP.