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....
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2010-01-01
|
| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2010/127513 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849685861340282880 |
|---|---|
| author | Patrick A. Naylor Nikolay D. Gaubitch Emanuël A. P. Habets |
| author_facet | Patrick A. Naylor Nikolay D. Gaubitch Emanuël A. P. Habets |
| author_sort | Patrick A. Naylor |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-c7ad74d30a71460087d4e57ce728ef32 |
| institution | DOAJ |
| issn | 2090-0147 2090-0155 |
| language | English |
| publishDate | 2010-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-c7ad74d30a71460087d4e57ce728ef322025-08-20T03:22:57ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552010-01-01201010.1155/2010/127513127513Signal-Based Performance Evaluation of Dereverberation AlgorithmsPatrick A. Naylor0Nikolay D. Gaubitch1Emanuël A. P. Habets2Communications and Signal Processing Group, Department of Electrical and Electronic Engineering, Imperial College, London SW7 2AZ, UKCommunications and Signal Processing Group, Department of Electrical and Electronic Engineering, Imperial College, London SW7 2AZ, UKCommunications and Signal Processing Group, Department of Electrical and Electronic Engineering, Imperial College, London SW7 2AZ, UKWe 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.http://dx.doi.org/10.1155/2010/127513 |
| spellingShingle | Patrick A. Naylor Nikolay D. Gaubitch Emanuël A. P. Habets Signal-Based Performance Evaluation of Dereverberation Algorithms Journal of Electrical and Computer Engineering |
| title | Signal-Based Performance Evaluation of Dereverberation Algorithms |
| title_full | Signal-Based Performance Evaluation of Dereverberation Algorithms |
| title_fullStr | Signal-Based Performance Evaluation of Dereverberation Algorithms |
| title_full_unstemmed | Signal-Based Performance Evaluation of Dereverberation Algorithms |
| title_short | Signal-Based Performance Evaluation of Dereverberation Algorithms |
| title_sort | signal based performance evaluation of dereverberation algorithms |
| url | http://dx.doi.org/10.1155/2010/127513 |
| work_keys_str_mv | AT patrickanaylor signalbasedperformanceevaluationofdereverberationalgorithms AT nikolaydgaubitch signalbasedperformanceevaluationofdereverberationalgorithms AT emanuelaphabets signalbasedperformanceevaluationofdereverberationalgorithms |