Paper Info
Title
Least-squares Distortionless Response Beamformer in far-field environments with spatial cues preservation
Abstract
In this letter, some results involving a form of least-squares beamformer are derived based only on directional criteria. In far-field assumptions (i.e., plane wave propagation model for the signals captured), we show that certain factors appearing in the beamformer coefficients calculation, which are usually formulated using complicated integrals, can be computed using closed-form expressions involving familiar, physically meaningful quantities. Next, by resorting to a limiting case, we demonstrate a clear theoretical link between the resulting solution and MVDR beamforming in cylindrically isotropic noise fields. We then discuss a solution to preserve spatial cues if desired which also allows to easily control and modulate the enhancement strength of the beamformer. Some experimental results are finally given in a challenging real-world environment, showing the merits of the approach.
Year
DOI
Venue
2013
10.1109/ICASSP.2013.6639069
Acoustics, Speech and Signal Processing
Keywords
Field
DocType
array signal processing,least squares approximations,speech enhancement,MVDR beamforming,closed-form expressions,cylindrically isotropic noise fields,directional criteria,enhancement strength,far-field environments,least-squares distortionless response beamformer,minimum-variance-distortionless-response beamformer,plane wave propagation model,real-world environment,spatial cues preservation,speech enhancement applications,MVDR,Multichannel speech enhancement,beamforming,least-squares
Speech enhancement,Least squares,Isotropy,Adaptive beamformer,Expression (mathematics),Computer science,Artificial intelligence,Beamforming,Pattern recognition,Spatial cues,Near and far field,Algorithm,Speech recognition
Conference
ISSN
Citations 
PageRank 
1520-6149
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Frédéric Mustière1213.29
Martin Bouchard217229.67