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http://dx.doi.org/10.5909/JBE.2018.23.4.519

Robust Multi-channel Wiener Filter for Suppressing Noise in Microphone Array Signal  

Jung, Junyoung (School of Electrical Engineering, Soongsil University)
Kim, Gibak (School of Electrical Engineering, Soongsil University)
Publication Information
Journal of Broadcast Engineering / v.23, no.4, 2018 , pp. 519-525 More about this Journal
Abstract
This paper deals with noise suppression of multi-channel data captured by microphone array using multi-channel Wiener filter. Multi-channel Wiener filter does not rely on information about the direction of the target speech and can be partitioned into an MVDR (Minimum Variance Distortionless Response) spatial filter and a single channel spectral filter. The acoustic transfer function between the single speech source and microphones can be estimated by subspace decomposition of multi-channel Wiener filter. The errors are incurred in the estimation of the acoustic transfer function due to the errors in the estimation of correlation matrices, which in turn results in speech distortion in the MVDR filter. To alleviate the speech distortion in the MVDR filter, diagonal loading is applied. In the experiments, database with seven microphones was used and MFCC distance was measured to demonstrate the effectiveness of the diagonal loading.
Keywords
multi-channel Wiener filter; microphone array; noise suppression; beamforming;
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Times Cited By KSCI : 1  (Citation Analysis)
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