Speech Separation by Humans and Machines PDF
Preview Speech Separation by Humans and Machines
SPEECH SEPARATION BY HUMANS AND MACHINES This page intentionally left blank SPEECH SEPARATION BY HUMANS AND MACHINES Edited by Pierre Divenyi East Bay Institute for Research and Education KLUWER ACADEMIC PUBLISHERS NEW YORK,BOSTON, DORDRECHT, LONDON, MOSCOW eBookISBN: 0-387-22794-6 Print ISBN: 1-4020-8001-8 ©2005 Springer Science + Business Media, Inc. Print ©2005 Kluwer Academic Publishers Boston All rights reserved No part of this eBook maybe reproducedor transmitted inanyform or byanymeans,electronic, mechanical, recording, or otherwise, without written consent from the Publisher Created in the United States of America Visit Springer's eBookstore at: http://ebooks.kluweronline.com and the Springer Global Website Online at: http://www.springeronline.com To Mary, from all of us. This page intentionally left blank Contents List of Contributors xi Foreword xv Al Bregman Preface xix Pierre Divenyi Speech Segregation: Problems and Perspectives 1 Chris Darwin Auditory Scene Analysis: Examining the Role of Nonlinguistic Audito- ry Processing in Speech Perception 5 Elyse S. Sussman Speech Separation: Further Insights from Recordings of Event-related Brain Potentials in Humans 13 Claude Alain Recurrent Timing Nets for F0-based Speaker Separation 31 Peter Cariani Blind Source Separation Using Graphical Models 55 Te-Won Lee Speech Recognizer Based Maximum Likelihood Beamforming 65 Bhiksha Raj, Michael Seltzer, and Manuel Jesus Reyes-gomez Exploiting Redundancy to Construct Listening Systems 83 Paris Smaragdis Automatic Speech Processing by Inference in Generative Models 97 Sam T. Roweis viii Speech Separation Signal Separation Motivated by Human Auditory Perception: Applica- tions to Automatic Speech Recognition 135 Richard M. Stern Speech Segregation Using an Event-synchronous Auditory Image and STRAIGHT 155 Toshio Irino, Roy D. Patterson, and Hideki Kawakhara Underlying Principles of a High-quality Speech Manipulation System STRAIGHT and Its Application to Speech Segregation 167 Hideki Kawahara and Toshio Irino On Ideal Binary Mask as the Computational Goal of Auditory Scene Analysis 181 Deliang Wang The History and Future of CASA 199 Malcolm Slaney Techniques For Robust Speech Recognition in Noisy and Reverberant Conditions 213 Guy J. Brown and Kalle J. Palomäki Source Separation, Localization, and Comprehension in Humans, Ma- chines, and Human-machine Systems 221 Nat Durlach The Cancellation Principle in Acoustic Scene Analysis 245 Alain De Cheveigné Informational and Energetic Masking Effects in Multitalker Speech Per- ception 261 Douglas S. Brungart Masking the Feature Information in Multi-stream Speech-analogue Dis- plays 269 Pierre L. Divenyi
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