Speech Dereverberation

  • Patrick A. Naylor
  • Nikolay D. Gaubitch

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

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Patrick A. Naylor, Nikolay D. Gaubitch
    Pages 1-19
  3. Patrick A. Naylor, Emanuël A. P. Habets, Jimi Y.-C. Wen, Nikolay D. Gaubitch
    Pages 21-56
  4. Nikolay D. Gaubitch, Mark R. P. Thomas, Patrick A. Naylor
    Pages 95-128
  5. Andy Khong, Patrick A. Naylor
    Pages 157-187
  6. Nikolay D. Gaubitch, Patrick A. Naylor
    Pages 189-217
  7. James R. Hopgood, Christine Evers, Steven Fortune
    Pages 219-270
  8. Masato Miyoshi, Marc Delcroix, Keisuke Kinoshita, Takuya Yoshioka, Tomohiro Nakatani, Takafumi Hikichi
    Pages 271-310
  9. Herbert Buchner, Walter Kellermann
    Pages 311-385
  10. Back Matter
    Pages 387-388

About this book

Introduction

Speech dereverberation is a signal processing technique of key importance for successful hands-free speech acquisition in applications of telecommunications and automatic speech recognition. Over the last few years, speech dereverberation has become a hot research topic driven by consumer demand, the availability of terminals based on Skype™ which encourage hands-free operation and the development of promising signal processing algorithms. Speech Dereverberation gathers together an overview, a mathematical formulation of the problem and the state-of-the-art solutions for dereverberation.

Speech Dereverberation presents the most important current approaches to the problem of reverberation. It begins by providing a focused and digestible review of the relevant topics in room acoustics and also describes key performance measures for dereverberation. The algorithms are then explained together with relevant mathematical analysis and supporting examples that enable the reader to see the relative strengths and weaknesses of the various techniques, as well as giving a clear understanding of the open questions still to be addressed in this topic. Techniques rooted in speech enhancement are included, in addition to a substantial treatment of multichannel blind acoustic system identification and inversion. The TRINICON framework is shown in the context of dereverberation to be a powerful generalization of the signal processing for a important range of analysis and enhancement techniques.

Speech Dereverberation offers the reader an overview of the subject area, as well as an in-depth text on the advanced signal processing involved. The book benefits the reader by providing such a wealth of information in one place, defines the current state of the art and, lastly, encourages further work on this topic by offering open research questions to exercise the curiosity of the reader. It is suitable for students at masters and doctoral level, as well as established researchers.

Keywords

Acoustics CP4748 Dereverberation Speech Enhancement Speech Processing Speech Recognition algorithms room acoustics

Editors and affiliations

  • Patrick A. Naylor
    • 1
  • Nikolay D. Gaubitch
    • 1
  1. 1.Department of Electrical and Electronic EngineeringImperial College LondonLondonUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-84996-056-4
  • Copyright Information Springer-Verlag London 2010
  • Publisher Name Springer, London
  • eBook Packages Engineering
  • Print ISBN 978-1-84996-055-7
  • Online ISBN 978-1-84996-056-4
  • Series Print ISSN 1860-4862
  • About this book