In this section
@inproceedings{D'Olne:2021:10.23919/EUSIPCO54536.2021.9616252,
author = {D'Olne, E and Moore, A and Naylor, P},
doi = {10.23919/EUSIPCO54536.2021.9616252},
pages = {1105--1109},
publisher = {IEEE},
title = {Model-based beamforming for wearable microphone arrays},
url = {http://dx.doi.org/10.23919/EUSIPCO54536.2021.9616252},
year = {2021}
}
TY - CPAPER
AB - Beamforming techniques for hearing aid applications are often evaluated using behind-the-ear (BTE) devices. However, the growing number of wearable devices with microphones has made it possible to consider new geometries for microphone array beamforming. In this paper, we examine the effect of array location and geometry on the performance of binaural minimum power distortionless response (BMPDR) beamformers. In addition to the classical adaptive BMPDR, we evaluate the benefit of a recently-proposed method that estimates the sample covariance matrix using a compact model. Simulation results show that using a chest-mounted array reduces noise by an additional 1.3~dB compared to BTE hearing aids. The compact model method is found to yield higher predicted intelligibility than adaptive BMPDR beamforming, regardless of the array geometry.
AU - D'Olne,E
AU - Moore,A
AU - Naylor,P
DO - 10.23919/EUSIPCO54536.2021.9616252
EP - 1109
PB - IEEE
PY - 2021///
SP - 1105
TI - Model-based beamforming for wearable microphone arrays
UR - http://dx.doi.org/10.23919/EUSIPCO54536.2021.9616252
UR - https://ieeexplore.ieee.org/document/9616252
UR - http://hdl.handle.net/10044/1/91242
ER -
Speech and Audio Processing Lab
CSP Group, EEE Department
Imperial College London
Exhibition Road, London, SW7 2AZ, United Kingdom