Overview
- Provides an overview and a mathematical formulation of the problem and the state of the art solutions for speech dereverberation
Part of the book series: Signals and Communication Technology (SCT)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (10 chapters)
-
Front Matter
-
Back Matter
Keywords
About this book
Speech Dereverberation gathers together an overview, a mathematical formulation of the problem and the state-of-the-art solutions for dereverberation.
Speech Dereverberation presents current approaches to the problem of reverberation. It provides a review of topics in room acoustics and also describes performance measures for dereverberation. The algorithms are then explained with mathematical analysis and examples that enable the reader to see the strengths and weaknesses of the various techniques, as well as giving an understanding of the questions still to be addressed. Techniques rooted in speech enhancement are included, in addition to a treatment of multichannel blind acoustic system identification and inversion. The TRINICON framework is shown in the context of dereverberation to be a generalization of the signal processing for a range of analysis and enhancement techniques.
Speech Dereverberation is suitable for students at masters and doctoral level, as well as established researchers.
Reviews
From the reviews:
“A comprehensive overview of the current state of the art in advanced signal processing techniques for improving speech enhancement through speech dereverberation … . targeted to established researchers and students at the masters and doctoral level and will be particularly attractive to those interested in detailed mathematical and statistical presentations of signal processing techniques. … highly recommended for anyone interested in learning about the latest state of the art solutions and future areas of research in this exciting and important field.” (Emily Cross, Noise Control Engineering Journal, Vol. 59 (2), March-April, 2011)Editors and Affiliations
About the editors
Patrick A. Naylor has a PhD in Speech Signal Processing from Imperial College London, where he is currently Reader and Director of Postgraduate Studies for the Department of Electrical and Electronic Engineering. His research interests include speech and audio signal processing; adaptive signal processing; speech enhancement in telecommunications; hands-free functionality; blind SIMO/MIMO channel estimation and dereverberation; speaker identification and verification; and speech production modelling. He is on the IEEE Technical Committee on Audio and Electroacoustics and is Associate Editor of the IEEE Transactions on Audio Speech and Language Processing.
Nikolay D. Gaubitch has a PhD in Acoustic Signal Processing from Imperial College London, where he is now Research Associate. In 2001 and 2002 he was awarded the Drapers' Company Undergraduate Prize for outstanding academic achievement. His research interests span various topics in single and multichannel speech and audio processing including dereverberation, blind system identification, acoustic system equalization and speech enhancement. He is a member of the IEEE.
Bibliographic Information
Book Title: Speech Dereverberation
Editors: Patrick A. Naylor, Nikolay D. Gaubitch
Series Title: Signals and Communication Technology
DOI: https://doi.org/10.1007/978-1-84996-056-4
Publisher: Springer London
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag London 2010
Hardcover ISBN: 978-1-84996-055-7Published: 28 July 2010
Softcover ISBN: 978-1-4471-2577-8Published: 05 September 2012
eBook ISBN: 978-1-84996-056-4Published: 27 July 2010
Series ISSN: 1860-4862
Series E-ISSN: 1860-4870
Edition Number: 1
Number of Pages: XVIII, 388
Number of Illustrations: 126 b/w illustrations
Topics: Signal, Image and Speech Processing, Artificial Intelligence, Data Structures and Information Theory, Computational Intelligence