Cross-Word Modeling for Arabic Speech Recognition

  • Dia AbuZeina
  • Moustafa Elshafei

Part of the SpringerBriefs in Electrical and Computer Engineering book series (BRIEFSELECTRIC)

Also part of the SpringerBriefs in Speech Technology book sub series (BRIEFSSPEECHTECH)

Table of contents

  1. Front Matter
    Pages i-x
  2. Dia AbuZeina, Moustafa Elshafei
    Pages 1-16
  3. Dia AbuZeina, Moustafa Elshafei
    Pages 17-23
  4. Dia AbuZeina, Moustafa Elshafei
    Pages 25-33
  5. Dia AbuZeina, Moustafa Elshafei
    Pages 35-46
  6. Dia AbuZeina, Moustafa Elshafei
    Pages 47-58
  7. Dia AbuZeina, Moustafa Elshafei
    Pages 59-68
  8. Back Matter
    Pages 69-74

About this book

Introduction

Cross-Word Modeling for Arabic Speech Recognition utilizes phonological rules in order to model the cross-word problem, a merging of adjacent words in speech caused by continuous speech, to enhance the performance of continuous speech recognition systems. The author aims to provide an understanding of the cross-word problem and how it can be avoided, specifically focusing on Arabic phonology using an HHM-based classifier.

Keywords

Arabic linguistics Arabic phonological rules Arabic phonology Continuous speech recognition systems Cross-word modeling HHM-based classifier Phonological rules Speech recognition

Authors and affiliations

  • Dia AbuZeina
    • 1
  • Moustafa Elshafei
    • 2
  1. 1.King Fahd Univ. of Petroleum & MineralsDhahranSaudi Arabia
  2. 2.King Fahd Univ. of Petroleum & MineralsDhahranSaudi Arabia

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-1213-7
  • Copyright Information Dia AbuZeina 2012
  • Publisher Name Springer, Boston, MA
  • eBook Packages Engineering
  • Print ISBN 978-1-4614-1212-0
  • Online ISBN 978-1-4614-1213-7
  • Series Print ISSN 2191-8112
  • Series Online ISSN 2191-8120
  • About this book
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