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@article{185811,
        author = {Ajit R. Chougale and Dr. Sangram T. Patil and Dr. Jaydeep B. Patil},
        title = {Speech-to-Sign Language Conversion System Using Natural Language Processing},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {12},
        number = {no},
        pages = {90-98},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=185811},
        abstract = {This project is designed to reduce the communication barrier between people with hearing impairments and those who use spoken language. It introduces a system that converts spoken words into corresponding sign language gestures, allowing for real-time and inclusive interaction. Using advanced speech recognition methods along with natural language processing (NLP), spoken inputs are first transcribed into text. The system then processes and segments this text to identify meaningful parts, which are mapped to sign language gestures shown through animations or visual cues. The solution emphasizes user-friendliness and accessibility, helping hearing-impaired individuals engage more actively in conversations. Built with a modular structure, the system supports different sign languages and can evolve over time through machine learning enhancements. By integrating modern technologies with a focus on user needs, this project offers a powerful tool to promote inclusive communication.},
        keywords = {Real-Time Translation, Speech recognition, Sign Language Animation, Natural Language Processing, NLP, Text preprocessing.},
        month = {},
        }