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

: Braun, Sebastian; Schwartz, Boaz; Gannot, Sharon; Habets, Emanuël A.P.


Institute of Electrical and Electronics Engineers -IEEE-:
International Workshop on Acoustic Signal Enhancement, IWAENC 2016 : September 13-16, 2016, Xi'an, China
Piscataway, NJ: IEEE, 2016
ISBN: 978-1-5090-2007-2
ISBN: 978-1-5090-2008-9
International Workshop on Acoustic Signal Enhancement (IWAENC) <15, 2016, Xian>
Conference Paper
Fraunhofer IIS ()
speech enhancement

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.