Beam-Specific System Identification

Inhalt:
Due to the increasing availability of devices with multiple microphones, modern acoustic echo cancellation systems need to estimate and optimize a large number of adaptive filters, resulting in an ever-increasing computational cost of such systems. In this paper, a highly efficient multichannel system identification method is introduced for setups where multiple microphone signals are fused using beamformers. By exploiting the knowledge on these beamformers, the proposed approach achieves high levels of computational efficiency, similar to those of beamformer-first acoustic echo cancellation methods, while avoiding severe performance drops resulting from the use of time-varying beamformers. This is validated in an experimental part using both, echo cancellation and system identification performance metrics.