An Efficient Residual Echo Suppression for Multi-Channel Acoustic Echo Cancellation Based on the Frequency-Domain Adaptive Kalman Filter

Jan Franzen; Tim Fingscheidt

ICASSP 2018accepted0 citations

An Efficient Residual Echo Suppression for Multi-Channel Acoustic Echo Cancellation Based on the Frequency-Domain Adaptive Kalman Filter

Abstract

Emerging use cases, such as keyword spotting while listening to FM radio, or participating in a teleconference utilizing the hands-free system in a vehicle, require the utilization of multi-channel acoustic echo cancellation (AEC). Addressing the typically remaining residual echo, it is common practice to apply a postfilter for residual echo suppression (RES) in a subsequent processing stage. In this paper we propose two RES approaches for the multi-channel frequency-domain adaptive Kalman filter, both being optimal under certain assumptions, extremely efficient and robust by exploiting a tight relation to the Kalman stepsize already available from the AEC.

BibTeX

@inproceedings{icassp2018_anefficientresid,
  title = {An Efficient Residual Echo Suppression for Multi-Channel Acoustic Echo Cancellation Based on the Frequency-Domain Adaptive Kalman Filter},
  author = {Jan Franzen and Tim Fingscheidt},
  booktitle = {ICASSP 2018},
  year = {2018}
}