
Robustness in Language and Speech Technology
Kluwer Academic Publishers
Published on 28. February 2001
Book
Hardback
X, 278 pages
978-0-7923-6790-1 (ISBN)
Description
In this book we address robustness issues at the speech recognition and natural language parsing levels, with a focus on feature extraction and noise robust recognition, adaptive systems, language modeling, parsing, and natural language understanding. This book attempts to give a clear overview of the main technologies used in language and speech processing, along with an extensive bibliography to enable topics of interest to be pursued further. It also brings together speech and language technologies often considered separately.
Robustness in Language and Speech Technology serves as a valuable reference and although not intended as a formal university textbook, contains some material that can be used for a course at the graduate or undergraduate level.
Robustness in Language and Speech Technology serves as a valuable reference and although not intended as a formal university textbook, contains some material that can be used for a course at the graduate or undergraduate level.
More details
Series
Edition
2001 ed.
Language
English
Place of publication
Dordrecht
Netherlands
Target group
Professional and scholarly
Research
Illustrations
X, 278 p.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 20 mm
Weight
597 gr
ISBN-13
978-0-7923-6790-1 (9780792367901)
DOI
10.1007/978-94-015-9719-7
Schweitzer Classification
Other editions
Additional editions

Jean-Claude Junqua | Gertjan van Noord
Robustness in Language and Speech Technology
E-Book
03/2013
Springer
€96.29
Available for download

Jean-Claude Junqua | Gertjan van Noord
Robustness in Language and Speech Technology
Book
12/2010
Springer
€106.99
Shipment within 15-20 days
Content
1 Introduction.- 2 Acoustic Features and Distance Measure.- 3 Speaker Compensation in Automatic Speech Recogniton.- 4 Robustness in Statistical Language Modeling.- 5 Improving Robustness by Modeling Spontaneous Speech Events.- 6 Regular Approximation of Context-Free Grammars.- 7 Weighted Grammar Tools: the GRM Library.- 8 Robust Parsing and Beyond.- 9 Robust Parsing of Word Graphs.- 10 Balancing Robustness and Efficiency.