In this section
@inproceedings{Neo:2022:10.1109/IWAENC53105.2022.9914799,
author = {Neo, VW and D'Olne, E and Moore, AH and Naylor, PA},
doi = {10.1109/IWAENC53105.2022.9914799},
pages = {1--5},
publisher = {IEEE},
title = {Fixed beamformer design using polynomial eigenvalue decomposition},
url = {http://dx.doi.org/10.1109/IWAENC53105.2022.9914799},
year = {2022}
}
TY - CPAPER
AB - Array processing is widely used in many speech applications involving multiple microphones. These applications include automaticspeech recognition, robot audition, telecommunications, and hearing aids. A spatio-temporal filter for the array allows signals fromdifferent microphones to be combined desirably to improve the application performance. This paper will analyze and visually interpretthe eigenvector beamformers designed by the polynomial eigenvaluedecomposition (PEVD) algorithm, which are suited for arbitrary arrays. The proposed fixed PEVD beamformers are lightweight, withan average filter length of 114 and perform comparably to classicaldata-dependent minimum variance distortionless response (MVDR)and linearly constrained minimum variance (LCMV) beamformersfor the separation of sources closely spaced by 5 degrees.
AU - Neo,VW
AU - D'Olne,E
AU - Moore,AH
AU - Naylor,PA
DO - 10.1109/IWAENC53105.2022.9914799
EP - 5
PB - IEEE
PY - 2022///
SP - 1
TI - Fixed beamformer design using polynomial eigenvalue decomposition
UR - http://dx.doi.org/10.1109/IWAENC53105.2022.9914799
UR - https://ieeexplore.ieee.org/document/9914799
UR - http://hdl.handle.net/10044/1/98398
ER -
For more information about the group, please contact:
Dr Dan Goodman
+44 (0)20 7594 6264
d.goodman@imperial.ac.uk