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Statistical Methods for Speech Recognition
by Frederick Jelinek and Jelinek

Overview -

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.  Read more...


 
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More About Statistical Methods for Speech Recognition by Frederick Jelinek; Jelinek
 
 
 
Overview

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.

 
Details
  • ISBN-13: 9780262100663
  • ISBN-10: 0262100665
  • Publisher: Bradford Book
  • Publish Date: January 1998
  • Page Count: 305
  • Reading Level: Ages 22-UP

Series: Language

Related Categories

Books > Computers & Internet > Natural Language Processing
Books > Language Arts & Disciplines > Linguistics - General

 
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