Abstract

Communication is crucial in our day-to-day lives. It is the basis for all human interactions. It is how people pass on information to other people and receive information from them. A person with a speaking or hearing problem cannot communicate properly with others. A person who isdeaf or dumb usually uses Sign Language to communicate with others. Normal individuals who would not know Sign language, on the other hand, cannot communicate better with them. Indian Sign Language acts as a mode of communication for deaf and dumb people who constitute a hefty portion of the Indian population. Most people struggle to apprehend ISL gestures. As a result, communication gap is created between the hearing and speech impaired and those who do not understand ISL. Translation systems are required to help bridge the gap between the community of people withhearing and speechimpairment and the general population. This paper focuses on developing an end-to-end system that can recognize the spoken language and interpret the corresponding speech to animated sign language gestures and that is also capable of converting Indian Sign Language to speech.

Full Text
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