Publications-Detail

Change Prediction for Low Complexity Combined Beamforming and Acoustic Echo Cancellation

Authors:
Schrammen, M. ,  Bohlender, A. ,  Kühl, S.Jax, P.
Book Title:
Proceedings of European Signal Processing Conference (EUSIPCO)
Organization:
EUSIPCO
Date:
Sep. 2019
DOI:
10.23919/EUSIPCO.2019.8902726
Language:
English

Abstract

Time-variant beamforming (BF) and acoustic echo cancellation (AEC) are two
techniques that are frequently employed for improving the quality of
hands-free speech communication. However, the combined application of both
is quite challenging as it either introduces high computational complexity
or insufficient tracking. We propose a new method to improve the
performance of the low-complexity beamformer first (BF-first) structure,
which we call change prediction (ChaP). ChaP gathers information on several
BF changes to predict the effective impulse response seen by the AEC after
the next BF change. To account for uncertain data and convergence states in
the predictions, reliability measures are introduced to improve ChaP in
realistic scenarios.

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