In this section
@inproceedings{D'Olne:2022:10.23919/EUSIPCO55093.2022.9909555,
author = {D'Olne, E and Neo, VW and Naylor, PA},
doi = {10.23919/EUSIPCO55093.2022.9909555},
pages = {55--59},
publisher = {IEEE},
title = {Speech enhancement in distributed microphone arrays using polynomial eigenvalue decomposition},
url = {http://dx.doi.org/10.23919/EUSIPCO55093.2022.9909555},
year = {2022}
}
TY - CPAPER
AB - As the number of connected devices equipped withmultiple microphones increases, scientific interest in distributedmicrophone array processing grows. Current beamforming meth-ods heavily rely on estimating quantities related to array geom-etry, which is extremely challenging in real, non-stationary envi-ronments. Recent work on polynomial eigenvalue decomposition(PEVD) has shown promising results for speech enhancement insingular arrays without requiring the estimation of any array-related parameter [1]. This work extends these results to therealm of distributed microphone arrays, and further presentsa novel framework for speech enhancement in distributed mi-crophone arrays using PEVD. The proposed approach is shownto almost always outperform optimum beamformers located atarrays closest to the desired speaker. Moreover, the proposedapproach exhibits very strong robustness to steering vectorerrors.
AU - D'Olne,E
AU - Neo,VW
AU - Naylor,PA
DO - 10.23919/EUSIPCO55093.2022.9909555
EP - 59
PB - IEEE
PY - 2022///
SN - 2219-5491
SP - 55
TI - Speech enhancement in distributed microphone arrays using polynomial eigenvalue decomposition
UR - http://dx.doi.org/10.23919/EUSIPCO55093.2022.9909555
UR - https://ieeexplore.ieee.org/abstract/document/9909555
UR - http://hdl.handle.net/10044/1/99158
ER -
Speech and Audio Processing Lab
CSP Group, EEE Department
Imperial College London
Exhibition Road, London, SW7 2AZ, United Kingdom