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Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods
ISBN: 978-0-470-69683-5
February 2009
268 pages
Speech and Speaker Recognition: Large Margin and Kernel Methods is a collation of research in the recent advances in large margin and kernel methods, as applied to the field of speech and speaker recognition. It presents theoretical and practical foundations of these methods, from support vector machines to large margin methods for structured learning. It also provides examples of large margin based acoustic modelling for continuous speech recognizers, where the grounds for practical large margin sequence learning are set. Large margin methods for discriminative language modelling and text independent speaker verification are also addressed in this book.
Key Features:
This book will be of interest to researchers, practitioners, engineers, and scientists in speech processing and machine learning fields.