Statistical Methods for Speech Recognition

Author:   Frederick Jelinek (Ctr Lang/Speech Proc)
Publisher:   MIT Press Ltd
ISBN:  

9780262100663


Pages:   305
Publication Date:   15 January 1998
Recommended Age:   From 18 years
Format:   Hardback
Availability:   Out of stock   Availability explained


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Statistical Methods for Speech Recognition


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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.

Full Product Details

Author:   Frederick Jelinek (Ctr Lang/Speech Proc)
Publisher:   MIT Press Ltd
Imprint:   MIT Press
Dimensions:   Width: 15.70cm , Height: 2.50cm , Length: 22.90cm
Weight:   0.590kg
ISBN:  

9780262100663


ISBN 10:   0262100665
Pages:   305
Publication Date:   15 January 1998
Recommended Age:   From 18 years
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Out of Print
Availability:   Out of stock   Availability explained

Table of Contents

The speech recognition problem; hidden Markov models; the acoustic model; basic language modelling; the Viterbi search; hypothesis search on a tree and the fast match; elements of information theory; the complexity of tasks - the quality of language models; the expectation - maximization algorithm and its consequences; decision trees and tree language models; phonetics from orthography - spelling-to-base from mappings; triphones and allophones; maximum entropy probability estimation and language models; three applications of maximum entropy estimation to language modelling; estimation of probabilities from counts and the Back-Off method.

Reviews

For the first time, researchers in this field will have a book that will serve as the bible' for many aspects of language and speech processing. Frankly, I can't imagine a person working in this field not wanting to have a personal copy. --Victor Zue, MIT Laboratory for Computer Science


Author Information

Frederick Jelinek is Julian Sinclair Smith Professor in the Department of Electrical and Computer Engineering at Johns Hopkins University, where he is also Director for the Center for Language and Speech Processing.

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