Sign Language Translation using a Chrome extension for Google Meet
Manisha Chattopadhyay, Manasee Parulekar, Varun Bhat, Bhuvana Raisinghani, Shubhranshu Arya
Abstract
Sign language is a source of communication used primarily by the community of speech and hearing-impaired people. The history of sign language goes as far behind as the Seventeenth century wherein the basic tool of communication for the aforementioned community was not universal but geography-specific. In this paper, we discuss our findings on the implementation of a Google Chrome extension for the Google meet (Videoconferencing) software which translates sign language into captions with the use of Machine Learning. Additionally, there is also a provision for text to speech for the translated texts. By making this extension, we lay the foundation for a bridge between users of ASL signs and the people who cannot understand them without translation for seamless communication.