Speech Dereverberation

2010
ISBN: 978-1-4471-2577-8
Verlag: Springer

Buch, Englisch, 388 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 616 g

Reihe: Signals and Communication Technology

gathers together an overview, a mathematical formulation of the problem and the state-of-the-art solutions for 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.

is suitable for students at masters and doctoral level, as well as established researchers.

Zielgruppe

Research

Autoren/Hrsg.

Gaubitch, Nikolay D.

Naylor, Patrick A.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung
• Mathematik | Informatik EDV | Informatik Informatik Tonsignalverarbeitung
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung

Inhaltsverzeichnis

Models, Measurement and Evaluation.- Speech Dereverberation Using Statistical Reverberation Models.- Dereverberation Using LPC-based Approaches.- Multi-microphone Speech Dereverberation Using Eigen-decomposition.- Adaptive Blind Multichannel System Identification.- Subband Inversion of Multichannel Acoustic Systems.- Bayesian Single Channel Blind Dereverberation of Speech from a Moving Talker.- Inverse Filtering for Speech Dereverberation Without the Use of Room Acoustics Information.- TRINICON for Dereverberation of Speech and Audio Signals.

Über Autor(innen)

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.