000146085 001__ 146085
000146085 005__ 20190117210543.0
000146085 037__ $$aBOOK
000146085 245__ $$aAutomatic Speech and Speaker Recognition: Large Margin and Kernel Methods
000146085 269__ $$a2008
000146085 260__ $$bJohn Wiley & Sons$$c2008
000146085 336__ $$aBooks
000146085 520__ $$aThis is the first book dedicated to uniting research related to speech and speaker recognition based on the recent advances in large margin and kernel methods. The first part of the book presents theoretical and practical foundations of large margin and kernel methods, from support vector machines to large margin methods for structured learning. The second part of the book is dedicated to acoustic modeling of continuous speech recognizers, where the grounds for practical large margin sequence learning are set. The third part introduces large margin methods for discriminative language modeling. The last part of the book is dedicated to the application of keyword spotting, speaker verification and spectral clustering. The book is an important reference to researchers and practitioners in the field of modern speech and speaker recognition. The purpose of the book is twofold; first, to set the theoretical foundation of large margin and kernel methods relevant to speech recognition domain; second, to propose a practical guide on implementation of these methods to the speech recognition domain. The reader is presumed to have basic knowledge of large margin and kernel methods and of basic algorithms in speech and speaker recognition.
000146085 700__ $$aKeshet, Joseph
000146085 700__ $$g140142$$aBengio, Samy$$0243961
000146085 909C0 $$xU10381$$0252189$$pLIDIAP
000146085 909CO $$pSTI$$pbook$$ooai:infoscience.tind.io:146085
000146085 937__ $$aLIDIAP-BOOK-2008-002
000146085 970__ $$aKeshet_WILEY_2008/LIDIAP
000146085 973__ $$sPUBLISHED$$aEPFL
000146085 980__ $$aBOOK