A Robust Step-Size Control Technique Based on Proportionate Constraints on Filter Update for Acoustic Echo Cancellation

WU Chao; JIANG Kaiyu; WANG Xiaofei; GUO Yanmeng; FU Qiang; YAN Yonghong

doi:10.1049/cje.2016.06.001

Volume 25 Issue 4

Turn off MathJax

Article Contents

Article Navigation > Chinese Journal of Electronics > 2016 > 25(4): 692-699

WU Chao, JIANG Kaiyu, WANG Xiaofei, et al., “A Robust Step-Size Control Technique Based on Proportionate Constraints on Filter Update for Acoustic Echo Cancellation,” Chinese Journal of Electronics, vol. 25, no. 4, pp. 692-699, 2016, doi: 10.1049/cje.2016.06.001

Citation:

WU Chao, JIANG Kaiyu, WANG Xiaofei, et al., “A Robust Step-Size Control Technique Based on Proportionate Constraints on Filter Update for Acoustic Echo Cancellation,” Chinese Journal of Electronics, vol. 25, no. 4, pp. 692-699, 2016, doi: 10.1049/cje.2016.06.001

Citation:

PDF( 398 KB)

A Robust Step-Size Control Technique Based on Proportionate Constraints on Filter Update for Acoustic Echo Cancellation

doi: 10.1049/cje.2016.06.001

Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, Chinam

Funds: This work is supported by the National Natural Science Foundation of China (No.11161140319, No.91120001, No.61271426), the Strategic Priority Research Program of the Chinese Academy of Sciences (No.XDA06030100, No.XDA06030500), the National High Technology Research and Development Program of China (863 Program) (No.2012AA012503), and the CAS Priority Deployment Project (No.KGZD-EW-103-2).

More Information

Corresponding author: FU Qiang (corresponding author) received the Ph.D. degree in electronic engineering from Xidian University, Xi'an, in 2000. From 2001 to 2002, he was working as a senior research associate in Center for Spoken Language Understanding (CSLU), OGI School of Science and Engineering at Oregon Health & Science University, Oregon, USA. From 2002 to 2004, he was working as senior postdoctoral research fellow in Department of Electric and Computer Engineering, University of Limerick, Ireland. He is currently a professor in Institute of Acoustics, Chinese Academy of Sciences, China. His research interests are in speech analysis, microphone array processing, far-distant speech recognition, audio-visual signal processing, machine learning for signal processing, etc. Dr. Fu Qiang is a member of IEEE Signal Processing Society.
Received Date: 2014-05-04
Rev Recd Date: 2014-08-08
Publish Date: 2016-07-10

Abstract

Abstract

One of the main difficulties in Acoustic echo cancellation (AEC) is that the filter adaptation needs to vary according to different situations such as near-end interferences and echo path changes. In this paper, we propose a robust step-size control algorithm in frequency domain. The proposed method is based on the optimization of the square of the bin-wise a posteriori error. Constraint on the filter update is applied, which contributes to robustness to near-end interferences of the algorithm. The learning rate formula is derived first and then the relationship between the proposed algorithm and a robust statistics based approach is revealed. The method is extended to the Multidelay block frequency domain adaptive filter (MDF) so as to meet the demand of low delay in practical application. Moreover, the values of the constraints are designed to be updated proportionately to improve the convergence property. Simulation results demonstrate the superiority of the proposed algorithm.
- Acoustic echo cancellation (AEC),
- Step-size control,
- Proportionate constraints,
- Robust filtering

FullText(HTML)

References(25)

References

J.J. Shynk, "Frequency-domain and multirate adaptive filtering", IEEE Signal Process. Mag., Vol.9, No.1, pp.14-37, 1992.

H. Buchner, J. Benesty, T. Gansler, et al., "Robust extended multidelay filter and double-talk detector for acoustic echo cancellation", IEEE Transactions on Audio, Speech, and Language Processing, Vol.14, No.5, pp.1633-1644, 2006.

D.L. Duttweiler, "A twelve-channel digital echo canceler", IEEE Transactions on Communications, Vol.26, No.12, pp.647-653, 1978.

W.V. Toon, R. Geert, V. Piet, et al., "Double-talk-robust prediction error identification algorithms for acoustic echo cancellation", IEEE Transactions on Signal Processing, Vol.55, No.3, pp.846-858, 2007.

J. Benesty, D.R. Morgan and J.H. Cho, "A new class of doubletalk detectors based on cross-correlation", IEEE Transactions on Speech and Audio Processing, Vol.8, No.2, pp.168-172, 2000.

A. Sugiyama, J. Berclaz and M. Sato, "Noise-robust double-talk detection based on normalized cross correlation and a noise offset", International Conference on Acoustics, Speech, and Signal Processing (ICASSP'05), Philadelphia, USA, pp.153-156, 2005.

B. Widrow and S.D. Stearns, Adaptive Signal Processing, Englewood Cliffs & Prentice-Hall, New Jersey, USA, 1985.

J.M. Valin, "On adjusting the learning rate in frequency domain echo cancellation with double-talk", IEEE Transactions on Audio, Speech, and Language Processing, Vol.15, No.3, pp.1030-1034, 2007.

Y. Zhou and X.D. Li, "A variable step-size for frequency-domain acoustic echo cancellation", IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, New Paltz, USA, pp.303-306, 2007.

K. Shi and X.L. Ma, "A frequency domain step-size control method for lms algorithms", IEEE Signal Processing Letters, Vol.17, No.2, pp.125-128, 2010.

S. Malik and G. Enzner, "State-space frequency-domain adaptive filtering for nonlinear acoustic echo cancellation", IEEE Transactions on Audio, Speech, and Language Processing, Vol.20, No.7, pp.2065-2079, 2012.

C. Paleologu, J. Benesty and S. Ciochina, "Study of the optimal and simplified Kalman filters for echo cancellation", 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Vancouver, Canada, pp.580-584, 2013.

E.M.F. Kuech and G. Enzner, "State-space architecture of the partitioned-block-based acoustic echo controller", 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Florence, Italy, pp.1309-1314, 2014.

M. Kanadi, M.T. Akhtar and W. Mitsuhashi, "A variable step-size-based ICA method for a fast and robust acoustic echo cancellation system without requiring double-talk detector", IEEE China Summit International Conference on Signal and Information Processing (ChinaSIP), Beijing, China, pp.118-121, 2013.

J. Chambers and A. Avlonitis, "A robust mixed-norm adaptive filter algorithm", IEEE Signal Processing Letters, Vol.4, No.2, pp.46-48, 1997.

Y.X. Zou, S.C. Chan and T.S. Ng, "Least mean m-estimate algorithms for robust adaptive filtering in impulse noise", IEEE Transactions on Circuits and Systems II:Analog and Digital Signal Processing, Vol.47, No.12, pp.1564-1569, 2000.

E. Papoulis and T. Stathaki, "A normalized robust mixed-norm adaptive algorithm for system identification", IEEE Signal Processing Letters, Vol.11, No.1, pp.56-59, 2004.

L.R. Vega, H. Rey, J. Benesty, et al., "A new robust variable step-size nlms algorithm", IEEE Transactions on Signal Processing, Vol.56, No.5, pp.1878-1893, 2008.

E. Ferrara, "Fast implementations of lms adaptive", IEEE Transactions on Acoustics, Speech and Signal Processing, Vol.28, No.4, pp.474-475, 1980.

Y. Huang and J. Benesty, Audio Signal Processing for Next Generation Multimedia Communication Systems, Norwell & Kluwer, Massachusetts, USA, 2004.

S. Haykin, Adaptive Filter Theory, Pearson Education India, Noida, India, 2005.

P.J. Huber, "Robust estimation of a location parameter", The Annals of Mathematical Statistics, Vol.35, No.1, pp.73-101, 1964.

J.S. Soo and K.K. Pang, "Multidelay block frequency domain adaptive filter", IEEE Transactions on Acoustics, Speech and Signal Processing, Vol.38, No.2, pp.373-376, 1990.

D.L. Duttweiler, "Proportionate normalized least-mean-squares adaptation in echo cancelers", IEEE Transactions on Speech and Audio Processing, Vol.8, No.5, pp.508-518, 2000.

J. Benesty and S.L. Gay, "An improved pnlms algorithm", IEEE International Conference on Acoustics, Speech, and Signal Processing, Orlando, USA, pp.1881-1884, 2002.

Relative Articles

Supplements(0)

Cited By

Proportional views