Evaluation and Comparison of Late Reverberation Power Spectral Density Estimators

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

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish
Pages (from-to)1052-1067
Number of pages16
JournalIEEE/ACM Transactions on Audio Speech and Language Processing
Issue number6
StatePublished - Jun 2018


  • Dereverberation
  • array processing
  • diffuse sound
  • power spectral density estimation
  • speech enhancement

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)
  • Acoustics and Ultrasonics
  • Computational Mathematics
  • Electrical and Electronic Engineering


Dive into the research topics of 'Evaluation and Comparison of Late Reverberation Power Spectral Density Estimators'. Together they form a unique fingerprint.

Cite this