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@article{180176,
        author = {Aadhya Dwivedi and Ankit Kumar and Aryan Srivastav and Sinha Neha},
        title = {Sign2Speech},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {1831-1836},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180176},
        abstract = {The approach, implementation, challenges, and any kind of improvements that can be applied to the system are covered in this paper. Despite the fact that the need of communication is one of the fundamental human’s rights, that millions of people in our society with speech and hearing impairments struggle to interact with other daily. Our study presents Sign2Speech, it is a software that helps people to communicate easily by recognising the sign languages or hand gestures and translate them into voice and text.},
        keywords = {AI-powered translation, accessibility, gesture recognition, computer vision, deep learning, sign language recognition, text-to-speech (TTS), real-time processing, inclusivity, and communication assistive technology.},
        month = {June},
        }