@inproceedings{b590a8550f2742f590cf59e87c7c4232,
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 frequencydomain 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.",
keywords = "Dereverberation, Interframe correlation, Kalman filter, Single-channel",
author = "Sebastian Braun and Boaz Schwartz and Sharon Gannot and Habets, {Emanu{\"e}l A.P.}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 15th International Workshop on Acoustic Signal Enhancement, IWAENC 2016 ; Conference date: 13-09-2016 Through 16-09-2016",
year = "2016",
month = oct,
day = "19",
doi = "10.1109/iwaenc.2016.7602930",
language = "الإنجليزيّة",
series = "2016 International Workshop on Acoustic Signal Enhancement, IWAENC 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2016 International Workshop on Acoustic Signal Enhancement, IWAENC 2016",
address = "الولايات المتّحدة",
}