SPEECH & TEXT TO VISUAL SIGN LANGUAGE USING ISL AND NLP TOKENS
International Research Journal of Modernization in Engineering Technology and Science · 2023
Speech and text to visual sign language translation technology is a critical tool for breaking down communication barriers between deaf and hearing individuals.This technology uses machine learning algorithms to analyze spoken or written language and generate the corresponding sign language.By doing so, it enables deaf individuals to participate more actively in social, educational, and professional settings and allows hearing individuals to communicate more easily with deaf individuals.However, there are several challenges that developers of speech and text to visual sign language translation technology face.Sign language is a threedimensional language that varies depending on the region and culture, and there are many nuances that can be challenging to capture accurately.Despite these challenges, there have been significant advances in this technology in recent years.Applications of speech and text to visual sign language translation technology include providing deaf students with access to the same educational resources as their hearing peers, facilitating communication between healthcare professionals and deaf patients, and providing deaf customers with access to customer service representatives.Overall, speech and text to visual sign language translation technology has the potential to make communication more inclusive and accessible for deaf individuals.With continued development and improvement, this technology could have a significant impact on the lives of deaf individuals and their ability to participate fully in society.