A Maximum Likelihood Approach to Blind Audio De-Reverberation

Massimiliano Tonelli; Nikolaos Mitianoudis; Mike Davies
DAFx-2004 - Naples
Blind audio de-reverberation is the problem of removing reverb from an audio signal without having explicit data regarding the system and/or the input signal. Blind audio de-reverberation is a more difficult signal-processing task than ordinary dereverberation based on deconvolution. In this paper different blind de-reverberation algorithms derived from kurtosis maximization and a maximum likelihood approach are analyzed and implemented.
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