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Evaluation and Comparison of Late Reverberation Power Spectral Density Estimators

: Braun, S.; Kuklasiński, A.; Schwartz, O.; Thiergart, O.; Habets, E.A.P.; Gannot, S.; Doclo, S.; Jensen, J.


IEEE ACM transactions on audio, speech, and language processing 26 (2018), No.6, pp.1056 - 1071
ISSN: 2329-9290
ISSN: 2329-9304
Journal Article
Fraunhofer IIS ()

Reduction of late reverberation can be achieved using spatio-spectral filters, such as the multichannel Wiener filter. 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 paper, 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 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.