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Frequency dependent statistical model for the suppression of late reverberations

Jan, T and Wang, Wenwu (2012) Frequency dependent statistical model for the suppression of late reverberations In: Sensor Signal Processing for Defence (SSPD 2012), 2012-09-25 - 2012-09-27, London, UK.

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Suppression of late reverberations is a challenging problem in reverberant speech enhancement. A promising recent approach to this problem is to apply a spectral subtraction mask to the spectrum of the reverberant speech, where the spectral variance of the late reverberations was estimated based on a frequency independent statistical model of the decay rate of the late reverberations. In this paper, we develop a dereverberation algorithm by following a similar process. Instead of using the frequency independent model, however, we estimate the frequency dependent reverberation time and decay rate, and use them for the estimation of the spectral subtraction mask. In order to remove the processing artifacts, the mask is further filtered by a smoothing function, and then applied to reduce the late reverberations from the reverberant speech. The performance of the proposed algorithm, measured by the segmental signal to reverberation ratio (SegSRR) and the signal to distortion ratio (SDR), is evaluated for both simulated and real data. As compared with the related frequency indepenent algorithm, the proposed algorithm offers considerable performance improvement.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Authors :
Jan, T
Date : 2012
DOI : 10.1049/ic.2012.0091
Copyright Disclaimer : © The Institution of Engineering and Technology 2012. This paper is a postprint of a paper submitted to and accepted for publication in the <b>IET Seminar Digest</b> and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library.
Depositing User : Symplectic Elements
Date Deposited : 06 Dec 2013 17:16
Last Modified : 16 Jan 2019 16:49

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