Pattern Recognition In Speech And Language Processing

Pattern Recognition In Speech And Language Processing

by Wu Chou
     
 

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ISBN-10: 0849312329

ISBN-13: 9780849312328

Pub. Date: 02/01/2003

Publisher: Taylor & Francis

Presents comprehensive coverage of new developments in speech and language processing Includes numerous examples of building practical applications and systems Comprises chapters contributed by leading experts in the field and designed to be self-contained and comprehensible to anyone with a general background in pattern recognition Provides a comprehensive list of

Overview

Presents comprehensive coverage of new developments in speech and language processing Includes numerous examples of building practical applications and systems Comprises chapters contributed by leading experts in the field and designed to be self-contained and comprehensible to anyone with a general background in pattern recognition Provides a comprehensive list of references and a survey of state-of-the-art technologies The advent of powerful computing devices and ubiquitous multimedia information distribution has triggered a wave of new approaches in pattern recognition. This book fills the need for a systematic and up-to-date presentation of the fundamentals and recent developments in the field of speech and language processing. It begins with the basics and recent theoretical advances, emphasizing classifier design criteria and optimization procedures. Discussions then move to topics in speech recognition and finally to language processing. Numerous examples of practical applications and real system descriptions make this a truly comprehensive treatment of an important and rapidly growing field.

Product Details

ISBN-13:
9780849312328
Publisher:
Taylor & Francis
Publication date:
02/01/2003
Series:
Electrical Engineering & Applied Signal Processing Series
Pages:
416
Product dimensions:
6.14(w) x 9.21(h) x 0.94(d)

Table of Contents

Minimum Classification Error (MSE) Approach in Pattern Recognition, Wu Chou
Minimum Bayes-Risk Methods in Automatic Speech Recognition, Vaibhava Goel and William Byrne
A Decision Theoretic Formulation for Adaptive and Robust Automatic Speech Recognition, Qiang Huo
Speech Pattern Recognition Using Neural Networks, Shigeru Katagiri
Large Vocabulary Speech Recognition Based on Statistical Methods, Jean-Luc Gauvain
Toward Spontaneous Speech Recognition and Understanding, Sadaoki Furui
Speaker Authentication, Qi Li and Biing-Hwang Juang
HMMs for Language Processing Problems, Richard M. Schwartz and John Makhoul
Statistical Language Models with Embedded Latent Semantic Knowledge, Jerome R. Bellegarda
Semantic Information Processing of Spoken Language - How May I Help You?, A.L. Gorin, A. Abella, T. Alonso, G . Riccardi, and J.H. Wright
Machine Translation Using Statistical Modeling, H. Ney and F.J. Och
Modeling Topics for Detection and Tracking, James Allen

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