Fundamentals of Speaker Recognition
An emerging technology, Speaker Recognition is becoming well-known for providing voice authentication over the telephone for helpdesks, call centres and other enterprise businesses for business process automation. "Fundamentals of Speaker Recognition" int
- PDF / 17,056,067 Bytes
- 983 Pages / 439.37 x 666.14 pts Page_size
- 17 Downloads / 216 Views
Homayoon Beigi
Fundamentals of Speaker Recognition
Homayoon Beigi Recognition Technologies, Inc. Yorktown Heights, NY, USA [email protected]
e-ISBN 978-0-387-77592-0 ISBN 978-0-387-77591-3 DOI 10.1007/978-0-387-77592-0 Springer New York Dordrecht Heidelberg London Library of Congress Control Number: 2011941119 © Springer Science+Business Media, LLC 2011 All rights reserved. This work may not be translated or copied in whole or in part without the written permission of the publisher (Springer Science+Business Media, LLC, 233 Spring Street, New York, NY 10013, USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
I dedicate this book to my inspiring and supportive wife, Pargol, my dear and wonderful son, Ara, my motivating father, the memory of my dedicated mother, and to my nurturing grandmother!
Preface
When I was being interviewed at the handwriting recognition group of IBM T.J. Watson Research Center in December of 1990, one of the interviewers asked me why, being a mechanical engineer, I was applying for a position in that group. Well, he was an electrical engineer and somehow was under the impression that handwriting recognition was an electrical engineering field! My response was that I had done research on Kinematics, Dynamics, Control, Signal Processing, Optimization, Neural Network Learning theory and lossless image compression during the past 7 years while I was in graduate school. I asked him what background he thought would have been more relevant to do research in handwriting recognition. Anyhow, I joined the on-line handwriting recognition group which worked sideby-side with the speech recognition group. Later, I transferred to the speech recognition group and worked on speaker recognition. Aside from the immediate front-end processing, on-line handwriting recognition, signature verification, speech recognition and speaker recognition have a lot in common. During the 10 years at IBM I also worked on many complementary problems such as phonetics, statistical learning theory, language modeling, information theoretic research, etc. This continued with further work on real-time large-scale optimization, interactive voice response systems, standardization and more detailed speaker recognition research at Recognition Technologies, Inc. to the present date, not to mention the many years of code optimization, integer arithmetic, software architecture and alike within the past 25 years. The reason for sharing this story with the reader is to
Data Loading...
