期刊名称：International Journal of Computer Science & Information Technology (IJCSIT)
印刷版ISSN：0975-4660
电子版ISSN：0975-3826
出版年度：2012
卷号：4
期号：1
页码：189
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Automatic speech processing systems are employed more and more often in real environments. Althoughthe underlying speech technology is mostly language independent, differences between languages withrespect to their structure and grammar have substantial effect on the recognition systems performance.In this paper, we present a review of the latest developments in the sign language recognition research ingeneral and in the Arabic sign language (ArSL) in specific. This paper also presents a generalframework for improving the deaf community communication with the hearing people that is calledSignsWorld. The overall goal of the SignsWorld project is to develop a vision-based technology forrecognizing and translating continuous Arabic sign language ArSL.
关键词：Arabic Speech Recognition; Deaf-To-Normal Communication; Sign Language Recognition; Normal to;Deaf Communication
