English

improving partition-block-based acoustic echo canceler in under-modeling scenarios

Audio and Speech Processing 2025-08-04 v1 Signal Processing

Abstract

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.

Keywords

Cite

@article{arxiv.2008.03944,
  title  = {improving partition-block-based acoustic echo canceler in under-modeling scenarios},
  author = {Wenzhi Fan and Jing Lu},
  journal= {arXiv preprint arXiv:2008.03944},
  year   = {2025}
}

Comments

accepted by interspeech2020

R2 v1 2026-06-23T17:44:32.259Z