Sample Rate Offset Compensated Acoustic Echo Cancellation For Multi-Device Scenarios
Fuente:
arXiv
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866915376541990912 |
|---|---|
| author | Korse, Srikanth Thiergart, Oliver Habets, Emanuel A. P. |
| author_facet | Korse, Srikanth Thiergart, Oliver Habets, Emanuel A. P. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_05399 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Sample Rate Offset Compensated Acoustic Echo Cancellation For Multi-Device Scenarios Korse, Srikanth Thiergart, Oliver Habets, Emanuel A. P. Audio and Speech Processing 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. |
| title | Sample Rate Offset Compensated Acoustic Echo Cancellation For Multi-Device Scenarios |
| topic | Audio and Speech Processing |
| url | https://arxiv.org/abs/2507.05399 |