Mute Mingle – Gesture Recognition to Text & Voice

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Mute Mingle - Gesture Recognition to Text & Voice

DOI : 10.46335/IJIES.2024.9.2.19

Authors : Prerna Khandagle, Samiksha Vede, Bhoomi Tanksale, Aditee Dhondge, Farhadeeba Shaikh

Abstract – In the current digital era, the development of equality and accessibility depends on the integration of technology with languages, especially sign languages. The new technology called Mute Mingle, which translates Indian Sign Language (ISL) motions into text and synthesized voice, is presented in this study to reduce communication gaps. Every member of society needs to be able to communicate effectively, but those who are hard of hearing or deaf may find it difficult to do so. One means of communication for the deaf and blind is sign language. According to the 2011 Indian census, 2.21% of people are total impaired. In India, 7% of the disabled population has speech impairments and 19% has hearing impairments. Deaf and blind people think that their inability to communicate effectively prevents them from expressing their emotions. It can be very challenging for most people who are not trained in sign language to communicate during an emergency. The goal of the Mute Mingle project is to create a voice and gesture detection system with an emphasis on Indian Sign Language (ISL). The system records hand motions that match particular ISL signs by using a camera input. By combining voice and gesture detection, Mute Mingle advances adaptive equipment for the hearing-impaired community while also assisting in the reduction of communication barriers. In this paper, the design, implementation, and evaluation of Mute Mingle are discussed, highlighting the applicability of this technology for encouraging different people and improving accessibility in the modern world of technology