Arabic Automatic Speech Recognition (case Of Minimal Syllable) Automatictreatment Of Arabic Language (case Of Minimal Syllable)

This paper aims at shedding light upon a very complex problem which concerns speech recognition with regard to Arabic language trying to account for some techniques of implementing Arabic in the field of artificial intelligence. This work hinges first and foremost on three technological tools; Gold wave ,Mat lab and Neural Net Works to treat automatically the minimal syllable located in first, mid, and final position of three Arabic words recorded by thirty speakers of different age and sex. Many experiments have been done in this work regarding the types of neural networks .The optimal neural net work is that of non- ordered data with one layer, five nodes and 150 steps because it has given an error rate of 0.0032