Acoustic Echo Cancellation for Asynchronous Systems Based on Resampling Adaptive Filter Coefficients

Cui Y, Wang J, Zheng C, Li X. Acoustic Echo Cancellation for Asynchronous Systems Based on Resampling Adaptive Filter Coefficients. In: AES Convention 141. Audio Engineering Society; 2016. Paper 9643. Available from: https://aes.org/publications/elibrary-page/?id=18447

@inproceedings{Cui2016_18447,
  author = {Cui, Yang and Wang, Jie and Zheng, Chengshi and Li, Xiaodong},
  title = {{Acoustic Echo Cancellation for Asynchronous Systems Based on Resampling Adaptive Filter Coefficients}},
  booktitle = {AES Convention 141},
  note = {Paper 9643},
  year = {2016},
  month = sep,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=18447}
}

TY  - CPAPER
TI  - Acoustic Echo Cancellation for Asynchronous Systems Based on Resampling Adaptive Filter Coefficients
AU  - Cui, Yang
AU  - Wang, Jie
AU  - Zheng, Chengshi
AU  - Li, Xiaodong
T2  - AES Convention 141
M1  - Paper 9643
PY  - 2016
DA  - 2016/09/06
UR  - https://aes.org/publications/elibrary-page/?id=18447
PB  - Audio Engineering Society
LA  - en
AB  - In asynchronous systems, most of traditional acoustic echo cancellation (AEC) algorithms couldn’t track echo path correctly because of the asynchronization of D/A and A/D converters, which can reduce the performance dramatically. Based on multirate digital signal processing theory, this paper proposes to solve this problem by resampling adaptive filter coefficients (RAFC), where the adaptive filter coefficients are updated by normalized least mean square (NLMS) algorithm with a variable step control method. The simulation results indicate that the proposed can estimate the clock offset quite accurately. Objective test results also show that the proposed RAFCNLMS is much better than the previous adaptive sampling rate correction algorithm in terms of the convergence rate and clock offset tracking performance.
ER  -