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Noise Reduction in Speech Processing
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本内斯蒂2009年作品,主要讲解语音处理中的噪声抑制技术,值得大家下载下来仔细研究
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Springer Topics in Signal Processing
Vo l u m e 2
Series Editors
J. Benesty, Montreal, QC, Canada
W. Kellermann, Erlangen, Germany

Springer Topics in Signal Processing
Edited by J. Benesty and W. Kellermann
Vol. 1 : Benesty, J.; Chen, J.; Huang, Y.
Microphone Array Signal Processing
250 p. 2008 [978-3-540-78611-5]
Vol. 2: Benesty, J.; Chen, J.; Huang, Y.; Cohen, I.
Noise Reduction in Speech Processing
240 p. 2009 [978-3-642-00295-3]

Jacob Benesty · Jingdong Chen · Yiteng Huang
123
Israel Cohen
·
Noise Reduction in Speech
Processing

Prof. Dr. Jacob Benesty
Universit
´
e de Quebec
Inst. National de la Recherche
Scientifique (INRS)
800 de la Gauchetiere Ouest
Montreal QC H5A 1K6
Canada
benesty@emt.inrs.ca
Jingdong Chen
Lucent Technologies
Bell Laboratories
600-700 Mountain Avenue
Murray Hill NJ 07974-0636
USA
jingdong@research.bell-labs.com
Yiteng Huang
9 Sylvan Dr.
Bridgewater NY 08807
USA
ardenhuang@gmail.com
Prof. Israel Cohen
Technion - Israel Institute of
Technology
Dept. Electrical Engineering
32000 Haifa
Technion City
Israel
icohen@ee.technion.ac.il
Library of Congress Control Number: 2009921819
c
° Springer-Verlag Berlin Heidelberg 2009
This work is subject to copyright. All rights are reserved, whether the whole or part of the material is
concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting,
reproduction on microfilm or in any other way, and storage in data banks. Duplication of this publication
or parts thereof is permitted only under the provisions of the German Copyright Law of September 9,
1965, in its current version, and permission for use must always be obtained from Springer. Violations
are liable to prosecution under the German Copyright Law.
The use of general descriptive names, registered names, trademarks, etc. in this publication does not
imply, even in the absence of a specific statement, that such names are exempt from the relevant protective
laws and regulations and therefore free for general use.
Cover design: WMXDesign GmbH, Heidelberg
Printed on acid-free paper
Springer is part of Springer Science+Business Media (springer.com)
ISBN 978-3-642-00295-3 e-ISBN 978-3-642-00296-0
DOI 10.1007/978-3-642-00296-0
Springer Dordrecht Heidelberg London New York
Springer Topics in Signal Processing ISSN 1866-2609

Preface
Noise is everywhere and in most applications that are related to audio and
speech, such as human-machine interfaces, hands-free communications, voice
over IP (VoIP), hearing aids, teleconferencing/telepresence/telecollaboration
systems, and so many others, the signal of interest (usually speech) that is
picked up by a microphone is generally contaminated by noise. As a result,
the microphone signal has to be cleaned up with digital signal processing tools
before it is stored, analyzed, transmitted, or played out. This cleaning pro-
cess is often called noise reduction and this topic has attracted a considerable
amount of research and engineering attention for several decades. One of the
objectives of this book is to present in a common framework an overview
of the state of the art of noise reduction algorithms in the single-channel
(one microphone) case. The focus is on the most useful approaches, i.e., fil-
tering techniques (in different domains) and spectral enhancement methods.
Readers who are interested in algorithms based on multiple microphones (or
microphone arrays) are invited to consult the recent book by J. Benesty, J.
Chen, and Y. Huang, Microphone Array Signal Processing, Berlin, Germany:
Springer-Verlag, 2008, and the references therein.
Several books on speech enhancement can be found in the literature. But
they either do not cover state-of-the-art noise reduction techniques or are not
rigorous in the explanations on how and why the noise reduction algorithms
really work. This is how the idea of writing a book on Noise Reduction in
Speech Processing came up. Therefore, the other objective of this text is to
derive the most important and well-known techniques in this area of research
and engineering in a rigorous way yet clear way, and prove many fundamental
and intuitive results often taken for granted.
This book is especially written for graduate students and research engi-
neers who work on noise reduction for speech and audio applications and
want to understand the subtle mechanisms behind each approach. We hope
the readers will find many new and interesting concepts that are presented in
this book useful and inspiring.
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