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Tabbal, H., El-Falou, W. and Monla, B. (2006) Analysis and Implementation of a “Quranic” verses Delimitation System in Audio Files Using Speech Recognition Techniques. Proceeding of the IEEE Conference of 2nd Information and Communication Technologies, 2, 2979-2984.

has been cited by the following article:

• TITLE: Educational System for the Holy Quran and Its Sciences for Blind and Handicapped People Based on Google Speech API

  AUTHORS: Samir A. Elsagheer Mohamed, Allam Shehata Hassanin, Mohamed Tahar Ben Othman

  KEYWORDS: Blind; Illiterate and Manual-Disabled People; Quran Sciences; Speech Recognition; Learning Systems

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.7 No.3, March 27, 2014

  ABSTRACT: There is a great need to provide educational environments for blind and handicapped people. There are many Islamic websites and applications dedicated to the educational services for the Holy Quran and Its Sciences (Quran Recitations, the interpretations, etc.) on the Internet. Unfortunately, blind and handicapped people could not use these services. These people cannot use the keyboard and the mouse. In addition, the ability to read and write is essential to benefit from these services. In this paper, we present an educational environment that allows these people to take full advantage of the scientific materials. This is done through the interaction with the system using voice commands by speaking directly without the need to write or to use the mouse. Google Speech API is used for the universal speech recognition after a preprocessing and post processing phases to improve the accuracy. For blind people, responses of these commands will be played back through the audio device instead of displaying the text to the screen. The text will be displayed on the screen to help other people make use of the system.