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.
Year
DOI
Venue
2016
10.1109/IWAENC.2016.7602930
2016 IEEE International Workshop on Acoustic Signal Enhancement (IWAENC)
Keywords
Field
DocType
dereverberation,single-channel,Kalman filter,interframe correlation
Frequency domain,Noise reduction,Reverberation,Convolution,Kalman filter,Transfer function,Spectral density,Acoustics,Mathematics,Estimator
Conference
ISBN
Citations 
PageRank 
978-1-5090-2008-9
1
0.35
References 
Authors
12
4
Name
Order
Citations
PageRank
Sebastian Braun1565.33
Boaz Schwartz2253.16
Sharon Gannot31754130.51
Emanuel A. P. Habets460466.23