Sebastian Braun, Adam Kuklasinski, Ofer Schwartz, Oliver Thiergart, Emanuel A. P. Habets, Sharon Gannot, Simon Doclo and Jesper Jensen
IEEE/ACM Transactions on Audio, Speech and Language Processing, 2018.
Reduction of late reverberation can be achieved using spatio-spectral filters such as the multichannel Wiener filter (MWF). To compute this filter, an estimate of the late reverberation power spectral density (PSD) is required. In recent years, a multitude of late reverberation PSD estimators have been proposed. In this contribution, these estimators are categorized into several classes, their relations and differences are discussed, and a comprehensive experimental comparison is provided. To compare their performance, simulations in controlled as well as practical scenarios are conducted. It is shown that a common weakness of spatial coherence-based estimators is their performance in high direct-to-diffuse ratio (DDR) conditions. To mitigate this problem, a correction method is proposed and evaluated. It is shown that the proposed correction method can decrease the speech distortion without significantly affecting the reverberation reduction.
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Comparison between all diffuse PSD estimators (source distance 3.5 m):
Comparison between selected estimators without and with bias compensation (source distance 2.5 m):