Microphone Arrays

Signal Processing Techniques and Applications

  • Michael Brandstein
  • Darren Ward

Part of the Digital Signal Processing book series (DIGSIGNAL)

Table of contents

  1. Front Matter
    Pages I-XVIII
  2. Speech Enhancement

    1. Front Matter
      Pages 1-1
    2. Darren B. Ward, Rodney A. Kennedy, Robert C. Williamson
      Pages 3-17
    3. Joerg Bitzer, K. Uwe Simmer
      Pages 19-38
    4. K. Uwe Simmer, Joerg Bitzer, Claude Marro
      Pages 39-60
    5. Osamu Hoshuyama, Akihiko Sugiyama
      Pages 87-109
    6. Michael Brandstein, Scott Griebel
      Pages 133-153
  3. Source Localization

    1. Front Matter
      Pages 155-155
    2. Joseph H. DiBiase, Harvey F. Silverman, Michael S. Brandstein
      Pages 157-180
    3. Elio D. Di Claudio, Raffaele Parisi
      Pages 181-201
    4. Norbert Strobel, Sascha Spors, Rudolf Rabenstein
      Pages 203-225
  4. Applications

    1. Front Matter
      Pages 227-227
    2. Julie E. Greenberg, Patrick M. Zurek
      Pages 229-253
    3. Sven Nordholm, Ingvar Claesson, Nedelko Grbić
      Pages 307-329
    4. Maurizio Omologo, Marco Matassoni, Piergiorgio Svaizer
      Pages 331-353
    5. Scott C. Douglas
      Pages 355-380
  5. Open Problems and Future Directions

    1. Front Matter
      Pages 381-381
    2. Gary W. Elko
      Pages 383-387
    3. Dirk Van Compernolle
      Pages 389-394
  6. Back Matter
    Pages 395-398

About this book


The study and implementation of microphone arrays originated over 20 years ago. Thanks to the research and experimental developments pursued to the present day, the field has matured to the point that array-based technology now has immediate applicability to a number of current systems and a vast potential for the improvement of existing products and the creation of future devices. This text is organized into four sections which roughly follow the major areas of microphone array research today. Parts I and II are primarily theoretical in nature and emphasize the use of microphone arrays for speech enhancement and source localization, respectively. Part III presents a number of specific applications of array-based technology. Part IV addresses some open questions and explores the future of the field. The result is a text that will be of utility to a large audience, from the student or practicing engineer just approaching the field to the advanced researcher with multi-channel signal processing experience.


acoustics filtering filters modeling noise signal processing speech recognition

Editors and affiliations

  • Michael Brandstein
    • 1
  • Darren Ward
    • 2
  1. 1.Div. of Eng. and Applied ScciencesHarvard UniversityCambridgeUSA
  2. 2.Dept. of Electrical EngineeringImperial CollegeLondonGB

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2001
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-07547-6
  • Online ISBN 978-3-662-04619-7
  • Series Print ISSN 1612-1457
  • Buy this book on publisher's site