Sign Language to Speech Translation

Salman Bagwan, Juned Tamboli, Mubasir Siddiqui, Shrikant Shinde
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Abstract

Sign language is a way of communicating using hand gestures, movements, and facial expressions, instead of spoken words. It is the medium of communication used by people who are deaf or have hearing impairments to exchange information between their own community and with normal people. In order to bridge the communication gap between people with hearing and speaking disabilities and people who do not use sign language, a lot of research work using machine learning algorithms has been done. Hence, Sign language translator came into picture. Sign Language Translators are generally used to interpret signs and gestures from deaf and hard hearing people and convert them into text. Key Word: Sign language, Hand Gestures, Helping Impaired People, Machine Learning, Deep Learning.
手语到语音的翻译
手语是一种用手势、动作和面部表情代替口语进行交流的方式。它是聋人或有听力障碍的人在自己的社区和与正常人交流信息时使用的交流媒介。为了弥合听力和语言障碍者与不使用手语的人之间的沟通差距,人们做了大量使用机器学习算法的研究工作。于是,手语翻译就出现了。手语翻译通常用来解释聋哑人和重听人的手势和手势,并将其转化为文本。关键词:手语,手势,帮助残疾人,机器学习,深度学习
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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