Automatic Speech Recognition of Arabic Phonemes with Neural Networks

1. Front Matter

   Pages i-xiii

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2. Introduction

   • Mohammed Dib

   Pages 1-6

3. The Arabic Phonological System

   • Mohammed Dib

   Pages 7-19

4. The English Phonological System

   • Mohammed Dib

   Pages 21-30

5. A Contrastive Phonological Study of English and Arabic

   • Mohammed Dib

   Pages 31-60

6. Arabic Automatic Speech Recognition

   • Mohammed Dib

   Pages 61-91

7. Back Matter

   Pages 93-144

   PDF

This book presents a contrastive linguistics study of Arabic and English for the dual purposes of improved language teaching and speech processing of Arabic via spectral analysis and neural networks. Contrastive linguistics is a field of linguistics which aims to compare the linguistic systems of two or more languages in order to ease the tasks of teaching, learning, and translation. The main focus of the present study is to treat the Arabic minimal syllable automatically to facilitate automatic speech processing in Arabic. It represents important reading for language learners and for linguists with an interest in Arabic and computational approaches.

• Contrastive linguistics Arabic English
• Speech processing Arabic
• Speech processing neural networks
• Arabic phonetics
• Automatic speech processing Arabic

• University of Tlemcen, Laboratory of Automatic Treatment of the Arabic Language, Tlemcen, Algeria

  Mohammed Dib

Mohammed Dib is a Doctor (Maitre de conference A) at the University of Mascara in the English department. He studied at the University of Tlemcen, where he received his license in English, his Magister, and his doctorate in applied linguistics (English-Arabic). His area of interest is contrastive studies in English and Arabic phonetics, phonology, signal processing, speech recognition, and automatic translation. Dr. Dib performed the research for this volume at the Laboratory of Automatic Treatment of the Arabic Language at the University of Tlemcen.

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