Though noise reduction and speech enhancement problems have been
studied for at least five decades, advances in our understanding
and the development of reliable algorithms are more important than
ever, as they support the design of tailored solutions for clearly
defined applications. In this work, the authors propose a
conceptual framework that can be applied to the many different
aspects of noise reduction, offering a uniform approach to monaural
and binaural noise reduction problems, in the time domain and in
the frequency domain, and involving a single or multiple
microphones. Moreover, the derivation of optimal filters is
simplified, as are the performance measures used for their
evaluation.
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