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OverviewIn 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. Full Product DetailsAuthor: Jean-Claude Junqua , Gertjan van NoordPublisher: Springer Imprint: Springer Edition: Softcover reprint of hardcover 1st ed. 2001 Volume: 17 Dimensions: Width: 16.00cm , Height: 1.50cm , Length: 24.00cm Weight: 0.454kg ISBN: 9789048156436ISBN 10: 9048156432 Pages: 278 Publication Date: 15 December 2010 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Out of stock  The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available. Table of Contents1 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.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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