Robustness in Language and Speech Technology

  • Jean-Claude Junqua
  • Gertjan van Noord

Part of the Text, Speech and Language Technology book series (TLTB, volume 17)

Table of contents

  1. Front Matter
    Pages i-x
  2. Jean-Claude Junqua, Gertjan van Noord
    Pages 1-7
  3. Daniel Tapias Merino
    Pages 47-100
  4. Peter A. Heeman, James F. Allen
    Pages 123-152
  5. Mehryar Mohri, Mark-Jan Nederhof
    Pages 153-163
  6. Mehryar Mohri
    Pages 165-186
  7. Jean-Pierre Chanod
    Pages 187-204
  8. Gertjan van Noord
    Pages 205-238
  9. Back Matter
    Pages 271-271

About this book


In this book we address robustness issues at the speech recognition and natural language parsing levels, with a focus on feature extraction and noise robust recognition, adaptive systems, language modeling, parsing, and natural language understanding. This book attempts to give a clear overview of the main technologies used in language and speech processing, along with an extensive bibliography to enable topics of interest to be pursued further. It also brings together speech and language technologies often considered separately.
Robustness in Language and Speech Technology serves as a valuable reference and although not intended as a formal university textbook, contains some material that can be used for a course at the graduate or undergraduate level.


Parsing cognition language natural language proving speech processing speech recognition

Editors and affiliations

  • Jean-Claude Junqua
    • 1
  • Gertjan van Noord
    • 2
  1. 1.Panasonic Speech Technology LaboratorySanta BarbaraUSA
  2. 2.University of GroningenThe Netherlands

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media B.V. 2001
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-90-481-5643-6
  • Online ISBN 978-94-015-9719-7
  • Series Print ISSN 1386-291X
  • Buy this book on publisher's site
Industry Sectors
IT & Software