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Research Article | Open Access
Volume 15 2023 | None
AUDIO TO SIGN LANGUAGE TRANSLATOR
Joshi Padma, Boggavarapu Priya Raga Lakshmi Suma, Dasoju Uday Kiran Chary, Dubbakula Ujjwal, Niresanapetla Sandeep
Pages: 30-35
Abstract
The prevalence of deafness in India is fairly significant. It is the second most common cause of disability. Approximately 63 million people in India suffer from significant auditory loss. There is a need for a medium to make communications between a normal person and a deaf person faster and convenient. Sign language is a universal way of communication for challenged people with speaking and hearing limitations. Multiple mediums are accessible to translate or to acknowledge sign language and convert them to text. However, the text to signing conversion systems has been rarely developed; this is often thanks to the scarcity of any sign language dictionary. This project is based on converting the audio signals to text using speech to text API. Speech to text conversion comprises of small, medium and large vocabulary conversions. Such systems process or accept the voice which then gets converted to their respective text. Then related signs(GIF’s) are displayed
Keywords
Speech to Text API, Deep Learning, DNN , Converter, Auditory disability, Sign Language, GIF’s.
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