Title
Efficient Nonlinear Acoustic Echo Cancellation By Dual-Stage Multi-Channel Kalman Filtering
Abstract
Mobile devices for hands-free speech communication often show significant nonlinear distortion in the sound emitted by their loudspeakers. Therefore, conventional linear echo cancellation is not sufficient for maintaining a high conversation quality. In this work we propose a nonlinear echo canceller that uses two serially cascaded adaptive filters to compensate for the nonlinear and linear echo. We show that a stable operation of the cascaded structure is achieved by using the multi-channel Kalman algorithm in the frequency domain with filtered-x references. By modelling a nonlinearity with memory we further improve the performance. To reduce the computational complexity of the proposed solution we derive an efficient decimation scheme by exploiting useful properties of the cascaded approach.
Year
DOI
Venue
2019
10.1109/icassp.2019.8682636
2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)
Keywords
Field
DocType
nonlinear acoustic echo cancellation, multi-channel Kalman filter, cascaded adaptive filters
Frequency domain,Decimation,Nonlinear system,Pattern recognition,Computer science,Algorithm,Kalman filter,Adaptive filter,Artificial intelligence,Loudspeaker,Nonlinear distortion,Computational complexity theory
Conference
ISSN
Citations 
PageRank 
1520-6149
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Matthias Schrammen101.35
Stefan Kuhl201.69
Shmulik Markovich Golan326114.31
Peter Jax415919.11