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Automatic Speech Recognition of Arabic Phonemes with Neural Networks

A Contrastive Study of Arabic and English

  • Mohammed┬áDib

Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Mohammed Dib
    Pages 1-6
  3. Mohammed Dib
    Pages 7-19
  4. Mohammed Dib
    Pages 21-30
  5. Mohammed Dib
    Pages 61-91
  6. Back Matter
    Pages 93-144

About this book

Introduction

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.

Keywords

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

Authors and affiliations

  • Mohammed┬áDib
    • 1
  1. 1.University of Tlemcen, Laboratory of Automatic Treatment of the Arabic LanguageTlemcenAlgeria

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-97710-2
  • Copyright Information The Author(s), under exclusive licence to Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-97709-6
  • Online ISBN 978-3-319-97710-2
  • Series Print ISSN 2191-530X
  • Series Online ISSN 2191-5318
  • Buy this book on publisher's site
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