جامعة الملك عبدالعزيز

KING ABDULAZIZ UNIVERSITY

Faculty of Computing and Information Technology in Rabigh

AN AVATAR BASED TRANSLATION SYSTEM FROM ARABIC SPEECH TO ARABIC SIGN LANGUAGE FOR DEAF PEOPLE

On average about two percent of the world population face hearing problem including deaf. Sign language is key skills that handicapped children should have. Sign language is a language that uses a system of manual, facial and other body movements as means of communication, especially for deaf people. Sign language is visual rather than auditory and is composed of precise hand shapes, facial expression and movements. When using sign language, the handicapped people think of pictures instead of words. This research will focus on composing a 3D motion captured from database of Arabic Sign Language. First, sign language motion will be recorded using data gloves. Next, Graphical translation of the digitized sign language will be re-animated using standard techniques (B-Splines or NURBS). The emphasis is to produce the original gesture as faithful as possible. Common spoken words are directly translated into respective semantic using Sphinx-4 Speech Recognition Engine without first translated into text. Using the same Sphinx-4 Engine, the semantic of the spoken Arabic language will then be translated into Arabic sign language. With minimum supervision, the automation of the translation for converting standard Arabic speech into virtual Arabic Sign Language will be useful to handicapped people.

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Last Update 4/19/2011 10:31:51 AM