Editors:
- The role of mathematics and statistics in speech and language technologies cannot be overestimated.
- This is a collection of some of the most recent research results in this cutting-edge and increasingly important field
Part of the book series: The IMA Volumes in Mathematics and its Applications (IMA, volume 138)
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Table of contents (12 papers)
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Front Matter
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Back Matter
About this book
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.
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)
Editors and Affiliations
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Dept. of Cognitive and Linguistic Studies, Brown University, Providence, USA
Mark Johnson
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Dept. of ECE and Dept. of Computer Science, Johns Hopkins University, Baltimore, USA
Sanjeev P. Khudanpur
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Dept. of Electrical Engineering, University of Washington, Seattle, USA
Mari Ostendorf
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School of Computer Science, Carnegie Mellon University, Pittsburgh, USA
Roni Rosenfeld
Bibliographic Information
Book Title: Mathematical Foundations of Speech and Language Processing
Editors: Mark Johnson, Sanjeev P. Khudanpur, Mari Ostendorf, Roni Rosenfeld
Series Title: The IMA Volumes in Mathematics and its Applications
DOI: https://doi.org/10.1007/978-1-4419-9017-4
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2004
Hardcover ISBN: 978-0-387-20326-3Published: 18 March 2004
Softcover ISBN: 978-1-4612-6484-2Published: 30 October 2012
eBook ISBN: 978-1-4419-9017-4Published: 06 December 2012
Series ISSN: 0940-6573
Series E-ISSN: 2198-3224
Edition Number: 1
Number of Pages: X, 289
Topics: Signal, Image and Speech Processing, Applications of Mathematics, Natural Language Processing (NLP), Pattern Recognition, Information and Communication, Circuits