Advancements in Communication and Systems
Sign Language Translation: A Study
Authors: Ajeet Singh Rajput, Sumitra Sureliya, Nishil Vani, Mohit Singh Tiwari and Pankaj Yadav
Publishing Date: 13-09-2024
ISBN: 978-81-955020-7-3
Abstract
Individuals without hearing or speech problems find it challenging to interact and communicate with those who do not have these impairments without the help of a translator. The sole means by which deaf and sign language is one way that non-verbal individuals can converse. Indian Sign Language is a unique language that contains its own syntax, grammar, vocabulary, and phonemes. The suggested study yields encouraging results and is validated on common datasets. A variety of techniques for data augmentation and mediapipe based feature extraction are used to assess the deep neural network
Keywords
Sign language, Indian Sign Language, Speech and deaf people, Deep learning, LSTM, American Sign Language, BERT Transformer, INCLUDE-50, GASLA, CNN, SVM.
Cite as
Ajeet Singh Rajput, Sumitra Sureliya, Nishil Vani, Mohit Singh Tiwari and Pankaj Yadav, "Sign Language Translation: A Study", In: Ashish Kumar Tripathi and Vivek Shrivastava (eds), Advancements in Communication and Systems, SCRS, India, 2024, pp. 529-540. https://doi.org/10.56155/978-81-955020-7-3-47