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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Doclo, S. Moonen, M. |
| Copyright Year | 1993 |
| Abstract | Recently, a generalized singular value decomposition (GSVD)-based optimal filtering technique has been proposed for enhancing multimicrophone speech signals degraded by additive colored noise. The GSVD-based optimal filtering technique has a better noise reduction performance than standard beamforming techniques provided that the used filter length is large enough. In this paper, it is shown that the same noise reduction performance can be obtained with shorter filter lengths at a lower computational complexity by incorporating the GSVD-based optimal filtering technique in a generalized sidelobe canceller type structure, i.e., by adding an adaptive noise cancellation (ANC) postprocessing stage. Even when using short filter lengths, the total computational complexity is essentially determined by the calculation of the GSVD of a speech and a noise data matrix. It is shown that the complexity can be significantly reduced by using recursive GSVD-updating algorithms and by using subsampling. Simulations have been performed for various acoustic scenarios (different and multiple noise sources and different reverberation conditions), where both the improvement in signal-to-noise ratio and speech distortion have been analyzed. These simulations show that the GSVD-based optimal filtering technique with an ANC postprocessing stage has a better noise reduction performance than standard fixed and adaptive beamforming techniques while introducing an acceptable amount of speech distortion. |
| Starting Page | 53 |
| Ending Page | 69 |
| Page Count | 17 |
| File Size | 1284858 |
| File Format | |
| ISSN | 10636676 |
| Volume Number | 13 |
| Issue Number | 1 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Noise reduction Filtering Speech enhancement Adaptive filters Array signal processing Computational complexity Noise cancellation Acoustic noise Signal to noise ratio Speech analysis speech enhancement Generalized sidelobe canceller generalized singular value decomposition (GSVD) multichannel Wiener filter optimal filtering recursive algorithms |
| Content Type | Text |
| Resource Type | Article |
| Subject | Acoustics and Ultrasonics Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software |
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