Fixed beamformer design using polynomial eigenvalue decomposition
File(s)
Author(s)
Neo, Vincent Weisheng
D'Olne, Emilie
Moore, Alastair H
Naylor, Patrick A
Type
Conference Paper
Abstract
Array processing is widely used in many speech applications involving multiple microphones. These applications include automatic
speech recognition, robot audition, telecommunications, and hearing aids. A spatio-temporal filter for the array allows signals from
different microphones to be combined desirably to improve the application performance. This paper will analyze and visually interpret
the eigenvector beamformers designed by the polynomial eigenvalue
decomposition (PEVD) algorithm, which are suited for arbitrary arrays. The proposed fixed PEVD beamformers are lightweight, with
an average filter length of 114 and perform comparably to classical
data-dependent minimum variance distortionless response (MVDR)
and linearly constrained minimum variance (LCMV) beamformers
for the separation of sources closely spaced by 5 degrees.
speech recognition, robot audition, telecommunications, and hearing aids. A spatio-temporal filter for the array allows signals from
different microphones to be combined desirably to improve the application performance. This paper will analyze and visually interpret
the eigenvector beamformers designed by the polynomial eigenvalue
decomposition (PEVD) algorithm, which are suited for arbitrary arrays. The proposed fixed PEVD beamformers are lightweight, with
an average filter length of 114 and perform comparably to classical
data-dependent minimum variance distortionless response (MVDR)
and linearly constrained minimum variance (LCMV) beamformers
for the separation of sources closely spaced by 5 degrees.
Date Issued
2022-10-17
Date Acceptance
2022-07-01
Citation
2022, pp.1-5
Publisher
IEEE
Start Page
1
End Page
5
Copyright Statement
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Identifier
https://ieeexplore.ieee.org/document/9914799
Source
International Workshop on Acoustic Signal Enhancement (IWAENC)
Publication Status
Published
Start Date
2022-09-05
Finish Date
2022-09-08
Coverage Spatial
Bamberg, Germany
Date Publish Online
2022-09-08