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Full Description
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.
Contents
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.
