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Overview"This volume addresses robustness issues at the speech recognition and natural language parsing levels, with a focus on feature extraction and noise robust recognition, adaptive systems, language modelling, parsing, and natural language understanding. It 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"" should prove 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: 2001 ed. Volume: 17 Dimensions: Width: 15.50cm , Height: 1.70cm , Length: 23.50cm Weight: 1.290kg ISBN: 9780792367901ISBN 10: 0792367901 Pages: 278 Publication Date: 28 February 2001 Audience: College/higher education , Professional and scholarly , Undergraduate , Postgraduate, Research & Scholarly Format: Hardback Publisher's Status: Active Availability: In Print  This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. 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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