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Speech and Audio Processing in Adverse Environments

  • Eberhard Hänsler
  • Gerhard Schmidt

Part of the Signals and Communication Technology book series (SCT)

Table of contents

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

    1. Eberhard Hänsler, Gerhard Schmidt
      Pages 7-10
    2. Heinrich W. Löllmann, Peter Vary
      Pages 13-61
    3. Mohamed Krini, Gerhard Schmidt
      Pages 89-134
    4. Bernd Iser, Gerhard Schmidt
      Pages 135-184
    5. Emanuël Anco Peter Habets, Sharon Gannot, Israel Cohen
      Pages 185-227
  3. Echo Cancellation

    1. Osamu Hoshuyama, Akihiko Sugiyama
      Pages 267-283
  4. Signal and System Quality Evaluation

    1. Ulrich Heute
      Pages 287-337
    2. Frank Kettler, Hans-Wilhelm Gierlich
      Pages 339-377
  5. Multi-Channel Processing

    1. Markus Buck, Tim Haulick, Hans-Jörg Pfleiderer
      Pages 417-467
    2. Robert Aichner, Herbert Buchner, Walter Kellermann
      Pages 469-524
    3. Nicoleta Roman, D. Liang Wang
      Pages 525-549
    4. Sascha Spors, Herbert Buchner, Rudolf Rabenstein
      Pages 551-583
  6. Selected Applications

    1. Karl Wiklund, Simon Haykin
      Pages 587-614
    2. Markus Christoph
      Pages 615-678
  7. Back Matter
    Pages 729-735

About this book

Introduction

The book reflects the state of the art in important areas of speech and audio signal processing. It presents topics which are missed so far and most recent findings in the field. Leading international experts report on their field of work and their new results.

Considerable amount of space is covered by multi-microphone systems, specific approaches for noise reduction, and evaluations of speech signals and speech processing systems.

Multi-microphone systems include automatic calibration of microphones, localisation of sound sources, and source separation procedures. Also covered are recent approaches to the problem of adaptive echo and noise suppression. A novel solution allows the design of filter banks exhibiting bands spaced according to the Bark scale und especially short delay times. Furthermore, a method for engine noise reduction and proposals for improving the signal/noise ratio based on partial signal reconstruction or using a noise reference are reported. A number of contributions deal with speech quality. Besides basic considerations for quality evaluation specific methods for bandwidth extension of telephone speech are described. Procedures to reduce the reverberation of audio signals can help to increase speech intelligibility and speech recognition rates.

In addition, solutions for specific applications in speech and audio signal processing are reported including, e.g., the enhancement of audio signal reproduction in automobiles and the automatic evaluation of hands-free systems and hearing aids.

Keywords

Dereverberation Echo Cancelation Noise Concelation Sound Quality adaptive Filter algorithms audio signal processing blind source separation filter filtering signal processing speech processing speech recognition system identification

Editors and affiliations

  • Eberhard Hänsler
    • 1
  • Gerhard Schmidt
    • 2
  1. 1.Technische UniversitätDarmstadtGermany
  2. 2.Harman/Becker Automotive SystemsUlmGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-70602-1
  • Copyright Information Springer Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-70601-4
  • Online ISBN 978-3-540-70602-1
  • Series Print ISSN 1860-4862
  • Buy this book on publisher's site