Journal ID : TRKU-22-11-2020-11330
[This article belongs to Volume - 62, Issue - 11]
Total View : 437

Title : Evaluating Automatic Speech Recognition for Arabic Alphabet and Special Characters

Abstract :

For the visually disabled, the existing method of learning Al-Quran is through dictation, listening, and memorization. Students are taught in large groups owing to a limited number of teachers. This technique is not effective for visually disabled students because of their visual limitations. The one-to-one learning method is preferred to personalize learning of the process according to each individual’s competency. Hence, there is a need to have a tool for learning Al-Quran since the book is already written in the braille code. This research is an initial step to enable the development of an assistive device that can be used by the visually disabled to read Al-Quran with the principle of the rasm Uthmani. The development of the tool will be based on the proposed Al-Quran Braille Learning Module. The model constitutes different components that include automatic speech recognition (ASR) facility. In the learning model, the ASR will receive voice inputs of the Arabic alphabet and special characters that are fundamental to learning Al-Quran Braille. This research evaluated the accuracy of the current ASR technology with regard to its use for the Arabic alphabet and special characters such as the waqf sign, vocalization symbols, and diacritic marks that have been added following the rasm Uthmani. The results of the research show that that the adult participants had difficulty in pronouncing the letters ث and ج. the teenagers had difficulty in pronouncing ح, whereas the children had difficulty in pronouncing ب and ث. Factors such as individual capability and age might influence the correct pronunciation of each letter and the speech recognition fails to recognize the letters.

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