Speech Dereverberation

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.

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)

• 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.