Use of Machine Learning Applications for Speech Impaired People
Abstract
While sign language is very important to deaf-mute people to communicate both with normal people and with themselves; it is still getting little attention from the normal people. We, as normal people, tend to ignore the importance of sign language unless there are loved ones who are deaf-mute. One of the solutions to communicate with the deaf-mute people is by using the services of sign language interpreters. But the usage of sign language interpreters can be costly. A cheap alternative to replace the interpreters is the use of a model that can automatically translate their actions into words. This paper covers the development of such a model which helps to automatically detect our actions in real time using the Mediapipe model and translate the same into respective text format.
References
[2] Banerji J. N. 1928. India International Reports of Schools for the Deaf. Washington City: Volta Bureau. Pp. 18-19
[3] Suryapriya A. K., Sumam S. and Idicula M 2009. Design and Development of a Frame based MT System for English to ISL. World congress on Nature and Biologically Inspired Computing. Pp 1382-1387.
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