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Book Information

   
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Title: Statistical Methods for Speech Recognition
Written By: Frederick Jelinek
URL: http://mitpress.mit.edu/book-home.tcl?isbn=0262100
Series Title: Language, Speech, and Communication Series
Description:

This book reflects decades of important research on the mathematical foundations of speech recognition. It focuses on underlying statistical techniques such as hidden Markov models, decision trees, the expectation-maximization algorithm, information theoretic goodness criteria, maximum entropy probability estimation, parameter and data clustering, and smoothing of probability distributions. The author's goal is to present these principles clearly in the simplest setting, to show the advantages of self-organization from real data, and to enable the reader to apply the techniques.

Publication Year: 1998
Publisher: MIT Press
Review: Not available for review. If you would like to review a book on The LINGUIST List, please login to view the AFR list.
BibTex: View BibTex record
Linguistic Field(s): Computational Linguistics
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Versions:
Format: Hardback
ISBN: 0262100665
ISBN-13: N/A
Pages: 300pp
Prices: $47.00/#32.50