الفهرس 
A study on arabic phonemes towards an automatic teaching system for the recitation of Holy Qur{u2019}an
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Abstract
This thesis is part of ongoing integrated studies concerning classical Arabic recognition for both teaching and learning purposes. The major point of strength is using Alnorania rule for the first time as training and testing dataset to differentiate between Arabic phonemes based on their exits and characteristics. This presents a substantial contribution summing up recognition models for recognizing different features and tiny details of each letter. This work is a good seed for different speech synthesis or speech recognition projects later on