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A significant population of Mexican people are deaf. This disorder restricts their social interac-tion skills with people who don't have such disorder and viceversa. In this paper we presentour advances towards the development of a Mexican Speech-to-Sign-Language translator toassist normal people to interact with deaf people. The proposed design methodology considerslimited resources for (1) the development of the Mexican Automatic Speech Recogniser (ASR)system, which is the main module in the translator, and (2) the Mexican Sign Language(MSL) vocabulary available to represent the decoded speech. Speech-to-MSL translation wasaccomplished with an accuracy level over 97% for test speakers different from those selectedfor ASR training.
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Santiago‐Omar Caballero‐Morales (2012) studied this question.
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