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Improved change prediction for combined beamforming and echo cancellation with application to a generalized sidelobe canceler

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Abstract
Adaptive beamforming and echo cancellation are often necessary in hands-free situations in order to enhance the communication quality. Unfortunately, the combination of both algorithms leads to problems. Performing echo cancellation before the beamformer (AEC-first) leads to a high complexity. In the other case (BF-first) the echo reduction is drastically decreased due to the changes of the beam-former, which have to be tracked by the echo canceler. Recently, the authors presented the directed change prediction algorithm with directed recovery, which predicts the effective impulse response after the next beamformer change and therefore allows to maintain the low complexity of the BF-first structure and to guarantee a robust echo cancellation. However, the algorithm assumes an only slowly changing acoustical environment which can be problematic in typical time-variant scenarios. In this paper an improved change prediction is presented, which uses adaptive shadow filters to reduce the convergence time of the change prediction. For this enhanced algorithm, it is shown how it can be applied to more advanced beamformer structures like the generalized sidelobe canceler and how the information provided by the improved change prediction can also be used to enhance the performance of the overall interference cancellation.
Keywords
Change Prediction, ChaP, Beamforming, Acoustic Echo Cancellation

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Citation

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MLA
Kühl, Stefan, et al. “Improved Change Prediction for Combined Beamforming and Echo Cancellation with Application to a Generalized Sidelobe Canceler.” 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), IEEE, 2019, pp. 363–67.
APA
Kühl, S., Bohlender, A., Schrammen, M., & Jax, P. (2019). Improved change prediction for combined beamforming and echo cancellation with application to a generalized sidelobe canceler. In 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) (pp. 363–367). New York: IEEE.
Chicago author-date
Kühl, Stefan, Alexander Bohlender, Matthias Schrammen, and Peter Jax. 2019. “Improved Change Prediction for Combined Beamforming and Echo Cancellation with Application to a Generalized Sidelobe Canceler.” In 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 363–67. New York: IEEE.
Chicago author-date (all authors)
Kühl, Stefan, Alexander Bohlender, Matthias Schrammen, and Peter Jax. 2019. “Improved Change Prediction for Combined Beamforming and Echo Cancellation with Application to a Generalized Sidelobe Canceler.” In 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 363–367. New York: IEEE.
Vancouver
1.
Kühl S, Bohlender A, Schrammen M, Jax P. Improved change prediction for combined beamforming and echo cancellation with application to a generalized sidelobe canceler. In: 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA). New York: IEEE; 2019. p. 363–7.
IEEE
[1]
S. Kühl, A. Bohlender, M. Schrammen, and P. Jax, “Improved change prediction for combined beamforming and echo cancellation with application to a generalized sidelobe canceler,” in 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), New Paltz, New York, USA, 2019, pp. 363–367.
@inproceedings{8644988,
  abstract     = {Adaptive beamforming and echo cancellation are often necessary in hands-free situations in order to enhance the communication quality. Unfortunately, the combination of both algorithms leads to problems. Performing echo cancellation before the beamformer (AEC-first) leads to a high complexity. In the other case (BF-first) the echo reduction is drastically decreased due to the changes of the beam-former, which have to be tracked by the echo canceler. Recently, the authors presented the directed change prediction algorithm with directed recovery, which predicts the effective impulse response after the next beamformer change and therefore allows to maintain the low complexity of the BF-first structure and to guarantee a robust echo cancellation. However, the algorithm assumes an only slowly changing acoustical environment which can be problematic in typical time-variant scenarios. In this paper an improved change prediction is presented, which uses adaptive shadow filters to reduce the convergence time of the change prediction. For this enhanced algorithm, it is shown how it can be applied to more advanced beamformer structures like the generalized sidelobe canceler and how the information provided by the improved change prediction can also be used to enhance the performance of the overall interference cancellation.},
  author       = {Kühl, Stefan and Bohlender, Alexander and Schrammen, Matthias and Jax, Peter},
  booktitle    = {2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)},
  isbn         = {9781728111247},
  issn         = {1931-1168},
  keywords     = {Change Prediction,ChaP,Beamforming,Acoustic Echo Cancellation},
  language     = {eng},
  location     = {New Paltz, New York, USA},
  pages        = {363--367},
  publisher    = {IEEE},
  title        = {Improved change prediction for combined beamforming and echo cancellation with application to a generalized sidelobe canceler},
  url          = {http://dx.doi.org/10.1109/waspaa.2019.8937228},
  year         = {2019},
}

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