improving partition-block-based acoustic echo canceler in under-modeling scenarios
Fuente:
arXiv
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| Auteurs principaux: | , |
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| Format: | Preprint |
| Publié: |
2020
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| _version_ | 1866915420479422464 |
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| author | Fan, Wenzhi Lu, Jing |
| author_facet | Fan, Wenzhi Lu, Jing |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2008_03944 |
| institution | arXiv |
| publishDate | 2020 |
| record_format | arxiv |
| spellingShingle | improving partition-block-based acoustic echo canceler in under-modeling scenarios Fan, Wenzhi Lu, Jing Audio and Speech Processing Signal Processing 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. |
| title | improving partition-block-based acoustic echo canceler in under-modeling scenarios |
| topic | Audio and Speech Processing Signal Processing |
| url | https://arxiv.org/abs/2008.03944 |