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End-To-End Deep Learning-Based Adaptation Control for Frequency-Domain Adaptive System Identification

End-To-End Deep Learning-Based Adaptation Control for Frequency-Domain Adaptive System Identification

Thomas Haubner
Andreas Brendel
Walter Kellermann
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Papers citing "End-To-End Deep Learning-Based Adaptation Control for Frequency-Domain Adaptive System Identification"

4 / 4 papers shown
Title
A Synergistic Kalman- and Deep Postfiltering Approach to Acoustic Echo Cancellation
A Synergistic Kalman- and Deep Postfiltering Approach to Acoustic Echo Cancellation
Thomas Haubner
Mhd Modar Halimeh
Andreas Brendel
Walter Kellermann
49
15
0
16 Dec 2020
Noise-Robust Adaptation Control for Supervised Acoustic System Identification Exploiting A Noise Dictionary
Noise-Robust Adaptation Control for Supervised Acoustic System Identification Exploiting A Noise Dictionary
Thomas Haubner
Andreas Brendel
Mohamed Elminshawi
Walter Kellermann
19
11
0
03 Jul 2020
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.2K
149,474
0
22 Dec 2014
The NLMS algorithm with time-variant optimum stepsize derived from a Bayesian network perspective
The NLMS algorithm with time-variant optimum stepsize derived from a Bayesian network perspective
Christian Huemmer
Roland Maas
Walter Kellermann
42
19
0
18 Nov 2014

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