Signal-Based Performance Evaluation of Dereverberation Algorithms

We address the measurement of reverberation in terms of the (DRR) in the context of the assessment of dereverberation algorithms for which we wish to quantify the level of reverberation before and after processing. The DRR is normally calculated from the impulse response of the reverberating system....

Full description

Saved in:
Bibliographic Details
Published in:Journal of electrical and computer engineering 2010-01, Vol.2010 (1)
Main Authors: Naylor, Patrick A., Gaubitch, Nikolay D., Habets, Emanuël A. P.
Format: Article
Language:English
Subjects:
Algorithms
Economic models
Performance evaluation
Propagation
Signal processing
Speech
Studies
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:We address the measurement of reverberation in terms of the (DRR) in the context of the assessment of dereverberation algorithms for which we wish to quantify the level of reverberation before and after processing. The DRR is normally calculated from the impulse response of the reverberating system. However, several important dereverberation algorithms involve nonlinear and/or time-varying processing and therefore their effect cannot conveniently be represented in terms of modifications to the impulse response of the reverberating system. In such cases, we show that a good estimate of DRR can be obtained from the input/output signals alone using the Signal-to-Reverberant Ratio (SRR) only if the source signal is spectrally white and correctly normalized. We study alternative normalization schemes and conclude by showing a least squares optimal normalization procedure for estimating DRR using signal-based SRR measurement. Simulation results illustrate the accuracy of DRR estimation using SRR.
ISSN:2090-0147
2090-0155
DOI:10.1155/2010/127513