Robustness in Language and Speech Technology

1. Front Matter

   Pages i-x

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2. Introduction

   • Jean-Claude Junqua, Gertjan van Noord

   Pages 1-7

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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

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4. Speaker Compensation in Automatic Speech Recogniton

   • Daniel Tapias Merino

   Pages 47-100

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5. Robustness in Statistical Language Modeling: Review and Perspectives

   • Jerome R. Bellegarda

   Pages 101-121

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6. Improving Robustness by Modeling Spontaneous Speech Events

   • Peter A. Heeman, James F. Allen

   Pages 123-152

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7. Regular Approximation of Context-Free Grammars through Transformation

   • Mehryar Mohri, Mark-Jan Nederhof

   Pages 153-163

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8. Weighted Grammar Tools: The GRM Library

   • Mehryar Mohri

   Pages 165-186

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9. Robust Parsing and Beyond

   • Jean-Pierre Chanod

   Pages 187-204

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10. Robust Parsing of Word Graphs

    • Gertjan van Noord

    Pages 205-238

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

    • Carolyn Penstein Rosé, Alon Lavie

    Pages 239-269

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12. Back Matter

    Pages 271-271

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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

• Panasonic Speech Technology Laboratory, Santa Barbara, USA

  Jean-Claude Junqua

• University of Groningen, The Netherlands

  Gertjan Noord

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