Noise Reduction in Speech Processing
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 m
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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 · Israel Cohen
Noise Reduction in Speech Processing
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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 [email protected]
Yiteng Huang 9 Sylvan Dr. Bridgewater NY 08807 USA [email protected]
Jingdong Chen Lucent Technologies Bell Laboratories 600-700 Mountain Avenue Murray Hill NJ 07974-0636 USA [email protected]
Prof. Israel Cohen Technion - Israel Institute of Technology Dept. Electrical Engineering 32000 Haifa Technion City Israel [email protected]
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 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)
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 process 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
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