Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{145605,
        author = {Ujwal Chavhan and Abhay Satmohankar and Sandesh Bhavsagar and Shikha Meshram, Anand Rewatkar},
        title = {Gesture Base Text and Voice Converter},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {10},
        pages = {610-612},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=145605},
        abstract = {Human beings interact with each other to convey their ideas, thoughts, and experiences to the people around them. But this is not the case for deaf-mute people & patient. Sign language paves the way for deaf-mute & patient people to communicate. Through sign language, communication is possible for a deaf-mute person & patient without the means of acoustic sounds. The aim behind this work is to develop a system for recognizing the sign language, which provides communication between people with speech impairment and normal people, thereby reducing the communication gap between them. Compared to other gestures, hand gesture plays an important role, as it expresses the user's views in less time. In the current work flex sensor-based gesture recognition module is developed to recognize English alphabets and few words and a Text-to-Speech synthesizer based on HMM is built to convert the corresponding text.},
        keywords = {},
        month = {},
        }