Pattern Recognition in Speech and Language Processing
1st Edition
Published on 26. February 2003
416 pages
978-1-135-70225-0 (ISBN)
Description
Over the last 20 years, approaches to designing speech and language processing algorithms have moved from methods based on linguistics and speech science to data-driven pattern recognition techniques. These techniques have been the focus of intense, fast-moving research and have contributed to significant advances in this field.
Pattern Reco
Pattern Reco
More details
Series
Edition
1. Auflage
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Researches, graduate students, and engineering professionals in signal processing, speech and language processing, communications, radar and sonar, and linear and discrete systems
Product notice
Reflowable
Illustrations
72 s/w Abbildungen, 16 s/w Tabellen, 24 s/w Photographien bzw. Rasterbilder
72 b/w images, 16 tables, 24 halftones and 1000 equations
ISBN-13
978-1-135-70225-0 (9781135702250)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Wu Chou | Biing-Hwang Juang
Pattern Recognition in Speech and Language Processing
Book
02/2003
1st Edition
CRC Press
€340.45
Shipment within 15-20 days
Content
FUNDAMENTALS AND RECENT ADVANCES IN PATTERN RECOGNITION: Classifier Design Criteria and Discriminant Function Approach in Speech and Language Processing. Minimum Bayes-Risk Automatic Speech Recognition. A Decision Theoretic Formulation for Adaptive and Robust Automatic Speech Recognition. Speech Pattern Recognition Using Neural Networks, Distributed Recognizers, and Decision Fusion.PATTERN RECOGNITION IN SPEECH AND AUDIO PROCESSING: Maximum Mutual Information Training of Hidden Markov Models. Large Vocabulary Speech Recognition Based on Statistical Methods. Toward Spontaneous Speech Recognition. Speaker Authentication. PATTERN RECOGNITION IN LANGUAGE PROCESSING: HMMs Applied Top Language Processing Problems. Statistical Language Models with Embedded Latent Semantic Knowledge. Semantic Information Processing of Spoken Language. Machine Translation Using Stochastic Modeling. Explicit Event Modeling for Topic Detection and Tracking in Broadcast News.
