深度学习实现听觉和语言障碍的交流系统

Chempavathy B, B. Sundaram, Anant Shaynam, Aditya Goswami, Bindya S
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引用次数: 0

摘要

手语是有语言和听力障碍的人自然的交流方式。由于缺乏丰富的手语库,包括所有书面文本的收集,学习手语并不是一件容易的事情,因此手语转换系统的文本并不多。这表明有必要开发一种系统,方便残疾人与世界其他地方的人进行交流。这里的研究工作将弥合未受过手语训练的人和仅依靠手语进行日常活动的人之间的差距,而不必假设或依赖已经掌握手语的人。这不仅是一种鼓励与残疾人交流而不用担心沟通不畅的方式,而且是一种享受交流的方式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Deep Learning Implemented Communication System for the Auditory and Verbally Challenged
Sign language is a natural way of communication for challenged people with speaking and hearing disabilities. There aren’t a lot of text to sign language conversion system, due to the lack of abundance of sign language libraries including all collection of written texts and learning sign language is not an easy task to begin with. This shows a need for developing a system that facilitates the communication of people with such disabilities with the rest of the world. The research work here would bridge the gap between people untrained in sign language and people who rely only on sign language for their day to day activities, without having to assume or rely on someone who already knows sign language. This is a way to not only encourage communication with people with disabilities without worrying about miscommunication, but to even enjoy it.
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