Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods

Joseph Keshet and Samy Bengio, Editors

John Wiley & Sons

March, 2009

Website:  Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods

 

About the book:

This 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. 

Contributors: Yasemin Altun, Francis Bach, Samy Bengio, Dan Chazan, Koby Crammer, Mark Gales, Yves Grandvalet, David Grangier, Michael I. Jordan, Joseph Keshet, Johnny Mariéthoz, Lawrence Saul, Brian Roark, Fei Sha, Shai Shalev-Shwartz, Yoram Singer, and Nathan Srebo.