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Echo Cancellation

A Recursive Least-Squares Algorithm Based on the Nearest Kronecker Product Decomposition

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Authors:
Constantin Paleologu, Jacob Benesty, and Silviu Ciochina
Submitted On:
10 May 2019 - 1:23pm
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presentation_ICASSP_2019_3.pdf

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[1] Constantin Paleologu, Jacob Benesty, and Silviu Ciochina, "A Recursive Least-Squares Algorithm Based on the Nearest Kronecker Product Decomposition", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4377. Accessed: Oct. 17, 2019.
@article{4377-19,
url = {http://sigport.org/4377},
author = {Constantin Paleologu; Jacob Benesty; and Silviu Ciochina },
publisher = {IEEE SigPort},
title = {A Recursive Least-Squares Algorithm Based on the Nearest Kronecker Product Decomposition},
year = {2019} }
TY - EJOUR
T1 - A Recursive Least-Squares Algorithm Based on the Nearest Kronecker Product Decomposition
AU - Constantin Paleologu; Jacob Benesty; and Silviu Ciochina
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4377
ER -
Constantin Paleologu, Jacob Benesty, and Silviu Ciochina. (2019). A Recursive Least-Squares Algorithm Based on the Nearest Kronecker Product Decomposition. IEEE SigPort. http://sigport.org/4377
Constantin Paleologu, Jacob Benesty, and Silviu Ciochina, 2019. A Recursive Least-Squares Algorithm Based on the Nearest Kronecker Product Decomposition. Available at: http://sigport.org/4377.
Constantin Paleologu, Jacob Benesty, and Silviu Ciochina. (2019). "A Recursive Least-Squares Algorithm Based on the Nearest Kronecker Product Decomposition." Web.
1. Constantin Paleologu, Jacob Benesty, and Silviu Ciochina. A Recursive Least-Squares Algorithm Based on the Nearest Kronecker Product Decomposition [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4377

Efficient Nonlinear Acoustic Echo Cancellation by Dual-stage Multi-channel Kalman Filtering


Mobile devices for hands-free speech communication often show significant nonlinear distortion in the sound emitted by their loudspeakers. Therefore, conventional linear echo cancellation is not sufficient for maintaining a high conversation quality. In this work we propose a nonlinear echo canceller that uses two serially cascaded adaptive filters to compensate for the nonlinear and linear echo. We show that a stable operation of the cascaded structure is achieved by using the multi-channel Kalman algorithm in the frequency domain with filtered-x references.

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Authors:
Shmulik Markovich-Golan, Peter Jax
Submitted On:
9 May 2019 - 3:21am
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posterICASSP19_DualStageNAEC_Schrammen.pdf

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[1] Shmulik Markovich-Golan, Peter Jax, "Efficient Nonlinear Acoustic Echo Cancellation by Dual-stage Multi-channel Kalman Filtering", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4159. Accessed: Oct. 17, 2019.
@article{4159-19,
url = {http://sigport.org/4159},
author = {Shmulik Markovich-Golan; Peter Jax },
publisher = {IEEE SigPort},
title = {Efficient Nonlinear Acoustic Echo Cancellation by Dual-stage Multi-channel Kalman Filtering},
year = {2019} }
TY - EJOUR
T1 - Efficient Nonlinear Acoustic Echo Cancellation by Dual-stage Multi-channel Kalman Filtering
AU - Shmulik Markovich-Golan; Peter Jax
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4159
ER -
Shmulik Markovich-Golan, Peter Jax. (2019). Efficient Nonlinear Acoustic Echo Cancellation by Dual-stage Multi-channel Kalman Filtering. IEEE SigPort. http://sigport.org/4159
Shmulik Markovich-Golan, Peter Jax, 2019. Efficient Nonlinear Acoustic Echo Cancellation by Dual-stage Multi-channel Kalman Filtering. Available at: http://sigport.org/4159.
Shmulik Markovich-Golan, Peter Jax. (2019). "Efficient Nonlinear Acoustic Echo Cancellation by Dual-stage Multi-channel Kalman Filtering." Web.
1. Shmulik Markovich-Golan, Peter Jax. Efficient Nonlinear Acoustic Echo Cancellation by Dual-stage Multi-channel Kalman Filtering [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4159

Multiple-input neural network-based residual echo suppression


A residual echo suppressor (RES) aims to suppress the residual echo in the output of an acoustic echo canceler (AEC). Spectral-based RES approaches typically estimate the magnitude spectra of the near-end speech and the residual echo from a single input, that is either the far-end speech or the echo computed by the AEC, and derive the RES filter coefficients accordingly. These single inputs do not always suffice to discriminate the near-end speech from the remaining echo.

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Authors:
Guillaume Carbajal, Romain Serizel, Emmanuel Vincent, Eric Humbert
Submitted On:
25 April 2018 - 5:13am
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posterICASSP_CARBAJAL.pdf

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[1] Guillaume Carbajal, Romain Serizel, Emmanuel Vincent, Eric Humbert, "Multiple-input neural network-based residual echo suppression", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3178. Accessed: Oct. 17, 2019.
@article{3178-18,
url = {http://sigport.org/3178},
author = {Guillaume Carbajal; Romain Serizel; Emmanuel Vincent; Eric Humbert },
publisher = {IEEE SigPort},
title = {Multiple-input neural network-based residual echo suppression},
year = {2018} }
TY - EJOUR
T1 - Multiple-input neural network-based residual echo suppression
AU - Guillaume Carbajal; Romain Serizel; Emmanuel Vincent; Eric Humbert
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3178
ER -
Guillaume Carbajal, Romain Serizel, Emmanuel Vincent, Eric Humbert. (2018). Multiple-input neural network-based residual echo suppression. IEEE SigPort. http://sigport.org/3178
Guillaume Carbajal, Romain Serizel, Emmanuel Vincent, Eric Humbert, 2018. Multiple-input neural network-based residual echo suppression. Available at: http://sigport.org/3178.
Guillaume Carbajal, Romain Serizel, Emmanuel Vincent, Eric Humbert. (2018). "Multiple-input neural network-based residual echo suppression." Web.
1. Guillaume Carbajal, Romain Serizel, Emmanuel Vincent, Eric Humbert. Multiple-input neural network-based residual echo suppression [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3178

NONLINEAR ACOUSTIC ECHO CANCELLATION USING ELITIST RESAMPLING PARTICLE FILTER


This paper considers an effective method for nonlinear acoustic echo cancellation (NL-AEC). More specifically, we model the nonlinear echo path by a latent state vector capturing the coefficients of a memoryless processor and a linear finite impulse response filter. To estimate the posterior probability distribution of the state vector, an elitist particle filter based on evolutionary strategies (EPFES) has been proposed, which evaluates realizations of the latent state vector based on long-term fitness measures.

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Authors:
MHD Modar Halimeh, Christian Huemmer, Walter Kellermann
Submitted On:
26 April 2018 - 3:21am
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Nonlinear_Acoustic_Echo_Cancellation_Using_Elitist_Particle_Filter_Poster.pdf

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Keywords

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[1] MHD Modar Halimeh, Christian Huemmer, Walter Kellermann, "NONLINEAR ACOUSTIC ECHO CANCELLATION USING ELITIST RESAMPLING PARTICLE FILTER", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2644. Accessed: Oct. 17, 2019.
@article{2644-18,
url = {http://sigport.org/2644},
author = {MHD Modar Halimeh; Christian Huemmer; Walter Kellermann },
publisher = {IEEE SigPort},
title = {NONLINEAR ACOUSTIC ECHO CANCELLATION USING ELITIST RESAMPLING PARTICLE FILTER},
year = {2018} }
TY - EJOUR
T1 - NONLINEAR ACOUSTIC ECHO CANCELLATION USING ELITIST RESAMPLING PARTICLE FILTER
AU - MHD Modar Halimeh; Christian Huemmer; Walter Kellermann
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2644
ER -
MHD Modar Halimeh, Christian Huemmer, Walter Kellermann. (2018). NONLINEAR ACOUSTIC ECHO CANCELLATION USING ELITIST RESAMPLING PARTICLE FILTER. IEEE SigPort. http://sigport.org/2644
MHD Modar Halimeh, Christian Huemmer, Walter Kellermann, 2018. NONLINEAR ACOUSTIC ECHO CANCELLATION USING ELITIST RESAMPLING PARTICLE FILTER. Available at: http://sigport.org/2644.
MHD Modar Halimeh, Christian Huemmer, Walter Kellermann. (2018). "NONLINEAR ACOUSTIC ECHO CANCELLATION USING ELITIST RESAMPLING PARTICLE FILTER." Web.
1. MHD Modar Halimeh, Christian Huemmer, Walter Kellermann. NONLINEAR ACOUSTIC ECHO CANCELLATION USING ELITIST RESAMPLING PARTICLE FILTER [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2644

An Adaptive Filter with Gain and Time-shift Parameters for Echo Cancellation

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Authors:
Zhiping Zhang, Zhiqiang Wu
Submitted On:
13 October 2016 - 10:53pm
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Parametric adaptive filter

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[1] Zhiping Zhang, Zhiqiang Wu, "An Adaptive Filter with Gain and Time-shift Parameters for Echo Cancellation", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1178. Accessed: Oct. 17, 2019.
@article{1178-16,
url = {http://sigport.org/1178},
author = {Zhiping Zhang; Zhiqiang Wu },
publisher = {IEEE SigPort},
title = {An Adaptive Filter with Gain and Time-shift Parameters for Echo Cancellation},
year = {2016} }
TY - EJOUR
T1 - An Adaptive Filter with Gain and Time-shift Parameters for Echo Cancellation
AU - Zhiping Zhang; Zhiqiang Wu
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1178
ER -
Zhiping Zhang, Zhiqiang Wu. (2016). An Adaptive Filter with Gain and Time-shift Parameters for Echo Cancellation. IEEE SigPort. http://sigport.org/1178
Zhiping Zhang, Zhiqiang Wu, 2016. An Adaptive Filter with Gain and Time-shift Parameters for Echo Cancellation. Available at: http://sigport.org/1178.
Zhiping Zhang, Zhiqiang Wu. (2016). "An Adaptive Filter with Gain and Time-shift Parameters for Echo Cancellation." Web.
1. Zhiping Zhang, Zhiqiang Wu. An Adaptive Filter with Gain and Time-shift Parameters for Echo Cancellation [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1178

The recursive Hessian sketch for adaptive filtering


The recursive Hessian sketch for adaptive filtering as a block diagram

We introduce in this paper the recursive Hessian sketch, a new adaptive filtering algorithm based on sketching the same exponentially weighted least squares problem solved by the recursive least squares algorithm. The algorithm maintains a number of sketches of the inverse autocorrelation matrix and recursively updates them at random intervals. These are in turn used to update the unknown filter estimate. The complexity of the proposed algorithm compares favorably to that of recursive least squares.

Paper Details

Authors:
Robin Scheibler, Martin Vetterli
Submitted On:
29 March 2016 - 4:50am
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icassp2016_slides.pdf

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[1] Robin Scheibler, Martin Vetterli, "The recursive Hessian sketch for adaptive filtering", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1064. Accessed: Oct. 17, 2019.
@article{1064-16,
url = {http://sigport.org/1064},
author = {Robin Scheibler; Martin Vetterli },
publisher = {IEEE SigPort},
title = {The recursive Hessian sketch for adaptive filtering},
year = {2016} }
TY - EJOUR
T1 - The recursive Hessian sketch for adaptive filtering
AU - Robin Scheibler; Martin Vetterli
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1064
ER -
Robin Scheibler, Martin Vetterli. (2016). The recursive Hessian sketch for adaptive filtering. IEEE SigPort. http://sigport.org/1064
Robin Scheibler, Martin Vetterli, 2016. The recursive Hessian sketch for adaptive filtering. Available at: http://sigport.org/1064.
Robin Scheibler, Martin Vetterli. (2016). "The recursive Hessian sketch for adaptive filtering." Web.
1. Robin Scheibler, Martin Vetterli. The recursive Hessian sketch for adaptive filtering [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1064