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Robustness in Language and Speech Technology

  • Book
  • © 2001

Overview

Editors:
  1. Jean-Claude Junqua

    1. Panasonic Speech Technology Laboratory, Santa Barbara, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Gertjan Noord

    1. University of Groningen, The Netherlands

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    You can also search for this editor in PubMed   Google Scholar

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

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-x
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  2. Introduction

    • Jean-Claude Junqua, Gertjan van Noord
    Pages 1-7

  3. Acoustic Features and Distance Measure to Reduce Vulnerability of ASR Performance Due to the Presence of a Communication Channel and/or Background Noise

    • Johan de Veth, Bert Cranen, Louis Boves
    Pages 9-45

  4. Speaker Compensation in Automatic Speech Recogniton

    • Daniel Tapias Merino
    Pages 47-100

  5. Robustness in Statistical Language Modeling: Review and Perspectives

    • Jerome R. Bellegarda
    Pages 101-121

  6. Improving Robustness by Modeling Spontaneous Speech Events

    • Peter A. Heeman, James F. Allen
    Pages 123-152

  7. Regular Approximation of Context-Free Grammars through Transformation

    • Mehryar Mohri, Mark-Jan Nederhof
    Pages 153-163

  8. Weighted Grammar Tools: The GRM Library

    • Mehryar Mohri
    Pages 165-186

  9. Robust Parsing and Beyond

    • Jean-Pierre Chanod
    Pages 187-204

  10. Robust Parsing of Word Graphs

    • Gertjan van Noord
    Pages 205-238

  11. Balancing Robustness and Efficiency in Unification-Augmented Context-Free Parsers for Large Practical Applications

    • Carolyn Penstein Rosé, Alon Lavie
    Pages 239-269

  12. Back Matter

    Pages 271-271
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Keywords

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.

Editors and Affiliations

  • Panasonic Speech Technology Laboratory, Santa Barbara, USA

    Jean-Claude Junqua

  • University of Groningen, The Netherlands

    Gertjan Noord

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