Sample Rate Offset Compensated Acoustic Echo Cancellation For Multi-Device Scenarios
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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Cite
@article{arxiv.2507.05399,
title = {Sample Rate Offset Compensated Acoustic Echo Cancellation For Multi-Device Scenarios},
author = {Srikanth Korse and Oliver Thiergart and Emanuel A. P. Habets},
journal= {arXiv preprint arXiv:2507.05399},
year = {2025}
}
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Published in IWAENC 2024