Improving Partition-Block-Based Acoustic Echo Canceler in Under-Modeling Scenarios

Wenzhi Fan, Jing Lu


Recently, a partitioned-block-based frequency-domain Kalman filter (PFKF) has been proposed for acoustic echo cancellation. Compared with the normal frequency-domain Kalman filter, the PFKF utilizes the partitioned-block structure, resulting in both fast convergence and low time-latency. We present an analysis of the steady-state behavior of the PFKF and found that it suffers from a biased steady-state solution when the filter is of deficient length. Accordingly, we propose an effective modification that has the benefit of the guaranteed optimal steady-state behavior. Simulations are conducted to validate the improved performance of the proposed method.


 DOI: 10.21437/Interspeech.2020-2479

Cite as: Fan, W., Lu, J. (2020) Improving Partition-Block-Based Acoustic Echo Canceler in Under-Modeling Scenarios. Proc. Interspeech 2020, 3964-3968, DOI: 10.21437/Interspeech.2020-2479.


@inproceedings{Fan2020,
  author={Wenzhi Fan and Jing Lu},
  title={{Improving Partition-Block-Based Acoustic Echo Canceler in Under-Modeling Scenarios}},
  year=2020,
  booktitle={Proc. Interspeech 2020},
  pages={3964--3968},
  doi={10.21437/Interspeech.2020-2479},
  url={http://dx.doi.org/10.21437/Interspeech.2020-2479}
}