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Mathematical Foundations of Speech and Language Processing : IMA Volumes in Mathematics and Its Applications - Mark Johnson

Mathematical Foundations of Speech and Language Processing

IMA Volumes in Mathematics and Its Applications

By: Mark Johnson (Editor), Sanjeev P. Khudanpur (Editor), Mari Ostendorf (Editor), Roni Rosenfeld (Editor)

Hardcover Published: March 2004
ISBN: 9780387203263
Number Of Pages: 289

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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 the 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.

Industry Reviews

From the reviews:

"The topics covered are mostly related to acoustic and language modeling for automatic speech recognition (ASR). ... I found the book very interesting. ... I would recommend it only to readers who are already familiar with statistical methods for language processing. I think that Mathematical Foundations of Speech and Language Processing is, nevertheless, a good reference about recent trends in the fields of ASR and language processing, which are indeed very relevant to current research in MT." (M. Federico, Machine Translation, Vol. 20, 2006)

Probability and statistics in computational linguistics, a brief reviewp. 1
Three issues in modern language modelingp. 27
Stochastic analysis of structured language modelingp. 37
Latent semantic language modeling for speech recognitionp. 73
Prosody modeling for automatic speech recognition and understandingp. 105
Switching dynamic system models for speech articulation and acousticsp. 115
Segmental HMMS : modeling dynamics and underlying structure in speechp. 135
Modelling graph-based observation spaces for segment-based speech recognitionp. 157
Towards robust and adaptive speech recognition modelsp. 169
Graphical models and automatic speech recognitionp. 191
An introduction to Markov chain Monte Carlo methodsp. 247
Semiparametric filtering in speech processingp. 271
List of workshop participantsp. 283
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9780387203263
ISBN-10: 0387203265
Series: IMA Volumes in Mathematics and Its Applications
Audience: General
Format: Hardcover
Language: English
Number Of Pages: 289
Published: March 2004
Publisher: Springer-Verlag New York Inc.
Country of Publication: US
Dimensions (cm): 23.5 x 16.43  x 1.96
Weight (kg): 0.54