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  4. Late reverberation PSD estimation for single-channel dereverberation using relative convolutive transfer functions
 
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2016
Conference Paper
Title

Late reverberation PSD estimation for single-channel dereverberation using relative convolutive transfer functions

Abstract
The estimation accuracy of the late reverberation power spectral density (PSD) is of paramount importance in single-channel frequency-domain dereverberation algorithms. In this domain, the reverberant signal can be modeled by the convolution of an early speech component and a relative convolutive transfer function (RCTF). In this work, the RCTF coefficients are modeled by a first-order Markov chain, which is well-suited to model time-varying scenarios. The RCTF coefficients are estimated online by a Kalman filter and are then used to compute the late reverberation PSD, which is used in a spectral enhancement filter to achieve dereverberation and noise reduction. It is shown that the proposed reverberation PSD estimator yields similar performance to other estimators, which impose a model on the reverberant tail and which depend on additional information like the reverberation time and the direct-to-reverberation ratio.
Author(s)
Braun, Sebastian  
Schwartz, Boaz
Bar Ilan University, Ramat Gan
Gannot, Sharon
Bar-Ilan University
Habets, Emanuël A.P.
Mainwork
International Workshop on Acoustic Signal Enhancement, IWAENC 2016  
Conference
International Workshop on Acoustic Signal Enhancement (IWAENC) 2016  
DOI
10.1109/IWAENC.2016.7602930
Language
English
Fraunhofer-Institut für Integrierte Schaltungen IIS  
Keyword(s)
  • speech enhancement

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