Evaluation and Comparison of Late Reverberation Power Spectral Density Estimators

Sebastian Braun, Adam Kuklasinski, Ofer Schwartz, Oliver Thiergart, Emanuël A. P. Habets, Sharon Gannot, Simon Doclo, Jesper Jensen

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

22 Citationer (Scopus)


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.

TidsskriftIEEE/ACM Transactions on Audio, Speech, and Language Processing
Udgave nummer6
Sider (fra-til)1056-1071
Antal sider16
StatusUdgivet - 2018

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