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arXiv · 2205.06473

Joint Acoustic Echo Cancellation and Blind Source Extraction based on Independent Vector Extraction

Thomas Haubner·Zbyněk Koldovský·Walter Kellermann
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Abstract

We describe a joint acoustic echo cancellation (AEC) and blind source extraction (BSE) approach for multi-microphone acoustic frontends. The proposed algorithm blindly estimates AEC and beamforming filters by maximizing the statistical independence of a non-Gaussian source of interest and a stationary Gaussian background modeling interfering signals and residual echo. Double talk-robust and fast-converging parameter updates are derived from a global maximum-likelihood objective function resulting in a computationally efficient Newton-type update rule. Evaluation with simulated acoustic data confirms the benefit of the proposed joint AEC and beamforming filter estimation in comparison to updating both filters individually.

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Thomas Haubner, Zbyněk Koldovský, Walter Kellermann. 2022-05-13. Joint Acoustic Echo Cancellation and Blind Source Extraction based on Independent Vector Extraction. https://arxiv.org/abs/2205.06473

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