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NA. KU. Desiraju, S. Doclo, M. Buck, T. Gerkmann, and T. Wolff, "On Determining Optimal Reverberation Parameters for Late Residual Echo Suppression," Paper 8-1, (2016 January.). doi: NA. KU. Desiraju, S. Doclo, M. Buck, T. Gerkmann, and T. Wolff, "On Determining Optimal Reverberation Parameters for Late Residual Echo Suppression," Paper 8-1, (2016 January.). doi:
Abstract: When deploying acoustic echo cancellation systems in large rooms, using short filters may result in significant amount of residual echo caused by room reverberation. In this paper, we model the late residual echo as exponentially decaying and use a parametric IIR filter to estimate its power in the subband domain for application in residual echo suppression. Working in an offline system identification setup, the problem of finding the optimal parameters of the IIR filter is addressed, with an analysis conducted on the performance of two parameter estimation methods: output error and equation error. The late residual echo power estimates obtained using the two methods are furthermore judged using the mean squared error and the mean squared log error cost functions. Results indicate that minimizing the mean squared log error for the output error method provides accurate estimates for the late residual echo power and the reverberation decay parameter.

@article{desiraju2016on,
author={desiraju, naveen kumar and doclo, simon and buck, markus and gerkmann, timo and wolff, tobias},
journal={journal of the audio engineering society},
title={on determining optimal reverberation parameters for late residual echo suppression},
year={2016},
volume={},
number={},
pages={},
doi={},
month={january},} @article{desiraju2016on,
author={desiraju, naveen kumar and doclo, simon and buck, markus and gerkmann, timo and wolff, tobias},
journal={journal of the audio engineering society},
title={on determining optimal reverberation parameters for late residual echo suppression},
year={2016},
volume={},
number={},
pages={},
doi={},
month={january},
abstract={when deploying acoustic echo cancellation systems in large rooms, using short filters may result in significant amount of residual echo caused by room reverberation. in this paper, we model the late residual echo as exponentially decaying and use a parametric iir filter to estimate its power in the subband domain for application in residual echo suppression. working in an offline system identification setup, the problem of finding the optimal parameters of the iir filter is addressed, with an analysis conducted on the performance of two parameter estimation methods: output error and equation error. the late residual echo power estimates obtained using the two methods are furthermore judged using the mean squared error and the mean squared log error cost functions. results indicate that minimizing the mean squared log error for the output error method provides accurate estimates for the late residual echo power and the reverberation decay parameter.},}

TY - paper
TI - On Determining Optimal Reverberation Parameters for Late Residual Echo Suppression
SP - EP -
AU - Desiraju, Naveen Kumar
AU - Doclo, Simon
AU - Buck, Markus
AU - Gerkmann, Timo
AU - Wolff, Tobias
PY - 2016
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - January 2016 TY - paper
TI - On Determining Optimal Reverberation Parameters for Late Residual Echo Suppression
SP - EP -
AU - Desiraju, Naveen Kumar
AU - Doclo, Simon
AU - Buck, Markus
AU - Gerkmann, Timo
AU - Wolff, Tobias
PY - 2016
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - January 2016
AB - When deploying acoustic echo cancellation systems in large rooms, using short filters may result in significant amount of residual echo caused by room reverberation. In this paper, we model the late residual echo as exponentially decaying and use a parametric IIR filter to estimate its power in the subband domain for application in residual echo suppression. Working in an offline system identification setup, the problem of finding the optimal parameters of the IIR filter is addressed, with an analysis conducted on the performance of two parameter estimation methods: output error and equation error. The late residual echo power estimates obtained using the two methods are furthermore judged using the mean squared error and the mean squared log error cost functions. Results indicate that minimizing the mean squared log error for the output error method provides accurate estimates for the late residual echo power and the reverberation decay parameter.