Title: Mixed penalization in convolutive nonnegative matrix factorization for blind speech dereverberation,
Abstract: When a signal is recorded in an enclosed room, it typically gets affected by
reverberation. This degradation represents a problem when dealing with audio
signals, particularly in the field of speech signal processing, such as
automatic speech recognition. Although there are some approaches to deal with
this issue that are quite satisfactory under certain conditions, constructing a
method that works well in a general context still poses a significant
challenge. In this article, we propose a method based on convolutive
nonnegative matrix factorization that mixes two penalizers in order to impose
certain characteristics over the time-frequency components of the restored
signal and the reverberant components. An algorithm for implementing the method
is described and tested. Comparisons of the results against those obtained with
state of the art methods are presented, showing significant improvement.