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Mathematical Foundations of Speech and Language Processing

  • Mark Johnson
  • Sanjeev P. Khudanpur
  • Mari Ostendorf
  • Roni Rosenfeld

Part of the The IMA Volumes in Mathematics and its Applications book series (IMA, volume 138)

Table of contents

  1. Front Matter
    Pages i-x
  2. Dietrich Klakow
    Pages 27-36
  3. Elizabeth Shriberg, Andreas Stolcke
    Pages 105-114
  4. Herve Bourlard, Samy Bengio, Katrin Weber
    Pages 169-189
  5. Jeffrey A. Bilmes
    Pages 191-245
  6. Benjamin Kedem, Konstantinos Fokianos
    Pages 271-281
  7. Back Matter
    Pages 283-289

About these proceedings

Introduction

Speech and language technologies continue to grow in importance as they are used to create natural and efficient interfaces between people and machines, and to automatically transcribe, extract, analyze, and route information from high-volume streams of spoken and written information.

The workshops on Mathematical Foundations of Speech Processing and Natural Language Modeling were held in the Fall of 2000 at the University of Minnesota's NSF-sponsored Institute for Mathematics and Its Applications, as part of a "Mathematics in Multimedia" year-long program. Each workshop brought together researchers in the respective technologies on one hand, and mathematicians and statisticians on the other hand, for an intensive week of cross-fertilization.

There is a long history of benefit from introducing mathematical techniques and ideas to speech and language technologies. Examples include the source-channel paradigm, hidden Markov models, decision trees, exponential models and formal languages theory. It is likely that new mathematical techniques, or novel applications of existing techniques, will once again prove pivotal for moving the field forward.

This volume consists of original contributions presented by participants during the two workshops. Topics include language modeling, prosody, acoustic-phonetic modeling, and statistical methodology.

Keywords

Acoustics Multimedia modeling natural language processing speech processing speech recognition statistics

Editors and affiliations

  • Mark Johnson
    • 1
  • Sanjeev P. Khudanpur
    • 2
  • Mari Ostendorf
    • 3
  • Roni Rosenfeld
    • 4
  1. 1.Dept. of Cognitive and Linguistic StudiesBrown UniversityProvidenceUSA
  2. 2.Dept. of ECE and Dept. of Computer ScienceJohns Hopkins UniversityBaltimoreUSA
  3. 3.Dept. of Electrical EngineeringUniversity of WashingtonSeattleUSA
  4. 4.School of Computer ScienceCarnegie Mellon UniversityPittsburghUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4419-9017-4
  • Copyright Information Springer-Verlag New York 2004
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4612-6484-2
  • Online ISBN 978-1-4419-9017-4
  • Series Print ISSN 0940-6573
  • Buy this book on publisher's site