A MAXIMUM LIKELIHOOD APPROACH TO BLIND AUDIO DE-REVERBERATION

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 de-reverberation based on deconvolution. In this paper different blind dereverberation algorithms derived from kurtosis maximization and a Maximum Likelihood approach are analyzed and implemented.

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