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arXiv · 2507.05399

Sample Rate Offset Compensated Acoustic Echo Cancellation For Multi-Device Scenarios

Srikanth Korse·Oliver Thiergart·Emanuel A. P. Habets
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Abstract

Acoustic echo cancellation (AEC) in multi-device scenarios is a challenging problem due to sample rate offset (SRO) between devices. The SRO hinders the convergence of the AEC filter, diminishing its performance. To address this , we approach the multi-device AEC scenario as a multi-channel AEC problem involving a multi-channel Kalman filter, SRO estimation, and resampling of far-end signals. Experiments in a two-device scenario show that our system mitigates the divergence of the multi-channel Kalman filter in the presence of SRO for both correlated and uncorrelated playback signals during echo-only and double-talk. Additionally, for devices with correlated playback signals, an independent single-channel AEC filter is crucial to ensure fast convergence of SRO estimation.

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Srikanth Korse, Oliver Thiergart, Emanuel A. P. Habets. 2025-07-07. Sample Rate Offset Compensated Acoustic Echo Cancellation For Multi-Device Scenarios. https://arxiv.org/abs/2507.05399

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