An automotive wideband stereo acoustic echo canceler using frequency-domain adaptive filtering

We present an improved state-space frequency-domain acoustic echo canceler (AEC), which makes use of Kalman filtering theory to achieve very good convergence performance, particularly in double talk. Our contribution can be considered threefold: The proposed approach is designed to suit an automotive wideband overlap-save (OLS) setup, to operate best in this distinctive use case. Second, we provide a temporal smoothing and overestimation approach for two particular noise covariance matrices to improve echo return loss enhancement (ERLE) performance. Furthermore, we integrate an adapted perceptually transparent decorrelation preprocessor, which makes use of human insensitivity against appropriately chosen frequency-selective phase modulation, to improve robustness against far-end impulse response changes.