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Andreas Brendel
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2020 – today
- 2024
- [j9]Thomas Haubner, Andreas Brendel, Walter Kellermann:
End-to-End Deep Learning-Based Adaptation Control for Linear Acoustic Echo Cancellation. IEEE ACM Trans. Audio Speech Lang. Process. 32: 227-238 (2024) - [j8]Xianrui Wang, Yichen Yang, Andreas Brendel, Tetsuya Ueda, Shoji Makino, Jacob Benesty, Walter Kellermann, Jingdong Chen:
On Semi-Blind Source Separation-Based Approaches to Nonlinear Echo Cancellation Based on Bilinear Alternating Optimization. IEEE ACM Trans. Audio Speech Lang. Process. 32: 2973-2987 (2024) - [j7]Thomas Haubner, Andreas Brendel, Walter Kellermann:
Erratum to "End-to-End Deep Learning-Based Adaptation Control for Linear Acoustic Echo Cancellation". IEEE ACM Trans. Audio Speech Lang. Process. 32: 3881 (2024) - [c42]Shrishti Saha Shetu, Emanuël A. P. Habets, Andreas Brendel:
Comparative Analysis of Discriminative Deep Learning-Based Noise Reduction Methods in Low SNR Scenarios. IWAENC 2024: 36-40 - [c41]Philipp Götz, Cagdas Tuna, Andreas Brendel, Andreas Walther, Emanuël A. P. Habets:
Blind Acoustic Parameter Estimation Through Task-Agnostic Embeddings Using Latent Approximations. IWAENC 2024: 289-293 - [c40]Yichen Yang, Xianrui Wang, Andreas Brendel, Wen Zhang, Jacob Benesty, Shoji Makino, Jingdong Chen:
A Data-Reuse Semi-Blind Source Separation Approach for Nonlinear Acoustic Echo Cancellation. IWAENC 2024: 379-383 - [i14]Andreas Brendel, Nicola Pia, Kishan Gupta, Guillaume Fuchs, Markus Multrus:
Simple and Efficient Quantization Techniques for Neural Speech Coding. CoRR abs/2405.08417 (2024) - [i13]Kishan Gupta, Nicola Pia, Srikanth Korse, Andreas Brendel, Guillaume Fuchs, Markus Multrus:
On Improving Error Resilience of Neural End-to-End Speech Coders. CoRR abs/2406.08900 (2024) - [i12]Shrishti Saha Shetu, Emanuël A. P. Habets, Andreas Brendel:
Comparative Analysis Of Discriminative Deep Learning-Based Noise Reduction Methods In Low SNR Scenarios. CoRR abs/2408.14582 (2024) - [i11]Shrishti Saha Shetu, Emanuël A. P. Habets, Andreas Brendel:
GAN-Based Speech Enhancement for Low SNR Using Latent Feature Conditioning. CoRR abs/2410.13599 (2024) - 2023
- [j6]Michael Günther, Andreas Brendel, Walter Kellermann:
Microphone utility estimation in acoustic sensor networks using single-channel signal features. EURASIP J. Audio Speech Music. Process. 2023(1): 29 (2023) - [j5]Andreas Brendel, Thomas Haubner, Walter Kellermann:
A Unifying View on Blind Source Separation of Convolutive Mixtures Based on Independent Component Analysis. IEEE Trans. Signal Process. 71: 816-830 (2023) - [c39]Yichen Yang, Xianrui Wang, Andreas Brendel, Wen Zhang, Walter Kellermann, Jingdong Chen:
Geometrically Constrained Source Extraction and Dereverberation Based on Joint Optimization. EUSIPCO 2023: 41-45 - [c38]Xianrui Wang, Andreas Brendel, Gongping Huang, Yichen Yang, Walter Kellermann, Jingdong Chen:
Spatially Informed Independent vector analysis for Source Extraction based on the convolutive Transfer Function Model. ICASSP 2023: 1-5 - 2022
- [j4]Thomas Haubner, Andreas Brendel, Walter Kellermann:
Online Acoustic System Identification Exploiting Kalman Filtering and an Adaptive Impulse Response Subspace Model. J. Signal Process. Syst. 94(2): 147-160 (2022) - [c37]Thomas Haubner, Andreas Brendel, Walter Kellermann:
End-To-End Deep Learning-Based Adaptation Control for Frequency-Domain Adaptive System Identification. ICASSP 2022: 766-770 - [c36]Andreas Brendel, Johannes Zeitler, Walter Kellermann:
Manifold Learning-Supported Estimation of Relative Transfer Functions For Spatial Filtering. ICASSP 2022: 8792-8796 - [c35]Wenxing Yang, Gongping Huang, Andreas Brendel, Jingdong Chen, Jacob Benesty, Walter Kellermann, Israel Cohen:
A Bilinear Framework For Adaptive Speech Dereverberation Combining Beamforming And Linear Prediction. IWAENC 2022: 1-5 - [i10]Michael Günther, Andreas Brendel, Walter Kellermann:
Microphone Utility Estimation in Acoustic Sensor Networks using Single-Channel Signal Features. CoRR abs/2201.09946 (2022) - [i9]Andreas Brendel, Thomas Haubner, Walter Kellermann:
A Unifying View on Blind Source Separation of Convolutive Mixtures based on Independent Component Analysis. CoRR abs/2207.13934 (2022) - 2021
- [c34]Michael Günther, Andreas Brendel, Walter Kellermann:
Microphone Utility-based Weighting for Robust Acoustic Source Localization in Wireless Acoustic Sensor Networks. ITG Conference on Speech Communication 2021: 1-5 - [c33]Haitham Afifi, Michael Günther, Andreas Brendel, Holger Karl, Walter Kellermann:
Reinforcement Learning-based Microphone Selection inWireless Acoustic Sensor Networks Considering Network and Acoustic Utilities. ITG Conference on Speech Communication 2021: 1-5 - [c32]Thomas Haubner, Mhd Modar Halimeh, Andreas Brendel, Walter Kellermann:
A Synergistic Kalman- and Deep Postfiltering Approach to Acoustic Echo Cancellation. EUSIPCO 2021: 990-994 - [c31]Michael Günther, Andreas Brendel, Walter Kellermann:
Online estimation of time-variant microphone utility in wireless acoustic sensor networks using single-channel signal features. EUSIPCO 2021: 1120-1124 - [c30]Andreas Brendel, Walter Kellermann:
Accelerating Auxiliary Function-Based Independent Vector Analysis. ICASSP 2021: 496-500 - [c29]Gabriel F. Miller, Andreas Brendel, Walter Kellermann, Sharon Gannot:
Misalignment Recognition in Acoustic Sensor Networks Using a Semi-Supervised Source Estimation Method and Markov Random Fields. ICASSP 2021: 766-770 - [c28]Michael Günther, Haitham Afifi, Andreas Brendel, Holger Karl, Walter Kellermann:
Network-Aware Optimal Microphone Channel Selection in Wireless Acoustic Sensor Networks. ICASSP 2021: 820-824 - [c27]Thomas Haubner, Andreas Brendel, Mohamed Elminshawi, Walter Kellermann:
Noise-Robust Adaptation Control for Supervised Acoustic System Identification Exploiting a Noise Dictionary. ICASSP 2021: 945-949 - [c26]Heinrich W. Löllmann, Andreas Brendel, Walter Kellermann:
Effective Rank-Based Estimation of the Coherent-to-Diffuse Power Ratio. ICASSP 2021: 955-959 - [c25]Andreas Brendel, Walter Kellermann:
Fasteriva: Update Rules for Independent Vector Analysis Based on Negentropy and the Majorize-Minimize Principle. WASPAA 2021: 131-135 - [i8]Thomas Haubner, Andreas Brendel, Walter Kellermann:
End-To-End Deep Learning-Based Adaptation Control for Frequency-Domain Adaptive System Identification. CoRR abs/2106.01262 (2021) - [i7]Andreas Brendel, Johannes Zeitler, Walter Kellermann:
Manifold learning-supported estimation of relative transfer functions for spatial filtering. CoRR abs/2110.02189 (2021) - 2020
- [j3]Alexander Schmidt, Andreas Brendel, Thomas Haubner, Walter Kellermann:
Motor data-regularized nonnegative matrix factorization for ego-noise suppression. EURASIP J. Audio Speech Music. Process. 2020(1): 11 (2020) - [j2]Andreas Brendel, Thomas Haubner, Walter Kellermann:
A Unified Probabilistic View on Spatially Informed Source Separation and Extraction Based on Independent Vector Analysis. IEEE Trans. Signal Process. 68: 3545-3558 (2020) - [c24]Tobias Gburrek, Joerg Schmalenstroeer, Andreas Brendel, Walter Kellermann, Reinhold Haeb-Umbach:
Deep Neural Network based Distance Estimation for Geometry Calibration in Acoustic Sensor Networks. EUSIPCO 2020: 196-200 - [c23]Rebecca C. Felsheim, Andreas Brendel, Patrick A. Naylor, Walter Kellermann:
Head Orientation Estimation from Multiple Microphone Arrays. EUSIPCO 2020: 491-495 - [c22]Andreas Brendel, Walter Kellermann:
Informed Source Extraction based on Independent Vector Analysis using Eigenvalue Decomposition. EUSIPCO 2020: 875-879 - [c21]Heinrich W. Löllmann, Andreas Brendel, Walter Kellermann:
Generalized Coherence-Based Signal Enhancement. ICASSP 2020: 201-205 - [c20]Andreas Brendel, Thomas Haubner, Walter Kellermann:
Spatially Guided Independent Vector Analysis. ICASSP 2020: 596-600 - [c19]Thomas Haubner, Andreas Brendel, Walter Kellermann:
Online Supervised Acoustic System Identification Exploiting Prelearned Local Affine Subspace Models. MLSP 2020: 1-6 - [i6]Tobias Gburrek, Joerg Schmalenstroeer, Andreas Brendel, Walter Kellermann, Reinhold Haeb-Umbach:
Deep Neural Network based Distance Estimation for Geometry Calibration in Acoustic Sensor Networks. CoRR abs/2006.13769 (2020) - [i5]Thomas Haubner, Andreas Brendel, Walter Kellermann:
Online Supervised Acoustic System Identification exploiting Prelearned Local Affine Subspace Models. CoRR abs/2007.01543 (2020) - [i4]Thomas Haubner, Andreas Brendel, Mohamed Elminshawi, Walter Kellermann:
Noise-Robust Adaptation Control for Supervised System Identification Exploiting A Noise Dictionary. CoRR abs/2007.01579 (2020) - [i3]Gabriel F. Miller, Andreas Brendel, Walter Kellermann, Sharon Gannot:
Misalignment Recognition in Acoustic Sensor Networks using a Semi-supervised Source Estimation Method and Markov Random Fields. CoRR abs/2011.03432 (2020) - [i2]Thomas Haubner, Mhd Modar Halimeh, Andreas Brendel, Walter Kellermann:
A Synergistic Kalman- and Deep Postfiltering Approach to Acoustic Echo Cancellation. CoRR abs/2012.08867 (2020)
2010 – 2019
- 2019
- [j1]Andreas Brendel, Walter Kellermann:
Distributed Source Localization in Acoustic Sensor Networks Using the Coherent-to-Diffuse Power Ratio. IEEE J. Sel. Top. Signal Process. 13(1): 61-75 (2019) - [c18]Andreas Brendel, Bracha Laufer-Goldshtein, Sharon Gannot, Walter Kellermann:
Learning-Based Acoustic Source Localization Using Directional Spectra. CAMSAP 2019: 276-280 - [c17]Janek Ebbers, Lukas Drude, Reinhold Haeb-Umbach, Andreas Brendel, Walter Kellermann:
Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks. CAMSAP 2019: 301-305 - [c16]Andreas Brendel, Ingo Altmann, Walter Kellermann:
Acoustic Source Position Estimation Based On Multi-Feature Gaussian Processes. EUSIPCO 2019: 1-5 - [c15]Mhd Modar Halimeh, Andreas Brendel, Walter Kellermann:
Bayesian Model Selection for Nonlinear Acoustic Echo Cancellation. EUSIPCO 2019: 1-5 - [c14]Mhd Modar Halimeh, Andreas Brendel, Walter Kellermann:
Neural Networks Sequential Training Using Variational Gaussian Particle Filter. ICASSP 2019: 3002-3006 - [c13]Andreas Brendel, Bracha Laufer-Goldshtein, Sharon Gannot, Ronen Talmon, Walter Kellermann:
Localization of an Unknown Number of Speakers in Adverse Acoustic Conditions Using Reliability Information and Diarization. ICASSP 2019: 7898-7902 - [c12]Michael Günther, Haitham Afifi, Andreas Brendel, Holger Karl, Walter Kellermann:
Sparse Adaptation of Distributed Blind Source Separation in Acoustic Sensor Networks. WASPAA 2019: 190-194 - 2018
- [c11]Markus Bachmann, Andreas Brendel, Walter Kellermann:
Resource Allocation for Distributed Blind Source Separation. ITG Symposium on Speech Communication 2018: 1-5 - [c10]Mhd Modar Halimeh, Andreas Brendel, Walter Kellermann:
Evolutionary Resampling for Multi-Target Tracking using Probability Hypothesis Density Filter. EUSIPCO 2018: 642-646 - [c9]Andreas Brendel, Walter Kellermann:
Learning-based Acoustic Source Localization in Acoustic Sensor Networks using the Coherent-to-Diffuse Power Ratio. EUSIPCO 2018: 1572-1576 - [c8]Kouei Yamaoka, Andreas Brendel, Nobutaka Ono, Shoji Makino, Michael Buerger, Takeshi Yamada, Walter Kellermann:
Time-Frequency-Bin-Wise Beamformer Selection and Masking for Speech Enhancement in Underdetermined Noisy Scenarios. EUSIPCO 2018: 1582-1586 - [c7]Heinrich W. Löllmann, Andreas Brendel, Walter Kellermann:
Efficient ML-Estimator for Blind Reverberation Time Estimation. EUSIPCO 2018: 2195-2199 - [c6]Andreas Brendel, Walter Kellermann:
Learning-Based Acoustic Source-Microphone Distance Estimation Using the Coherent-to-Diffuse Power Ratio. ICASSP 2018: 61-65 - [c5]Mhd Modar Halimeh, Christian Huemmer, Andreas Brendel, Walter Kellermann:
Hybrid Particle Filtering Based on an Elitist Resampling Scheme. SAM 2018: 257-261 - [c4]Andreas Brendel, Walter Kellermann:
Tracking of Multiple Sources in an Acoustic Sensor Network Using an Extended Gaussian Mixture PHD Filter. SAM 2018: 400-404 - [c3]Andreas Brendel, Sharon Gannot, Walter Kellermann:
Localization of Multiple Simultaneously Active Speakers in an Acoustic Sensor Network. SAM 2018: 450-454 - [c2]Andreas Brendel, Walter Kellermann:
Distance Estimation of Acoustic Sources Using the Coherent-to-Diffuse Power Ratio Based on Distributed Training. IWAENC 2018: 1-5 - 2017
- [c1]Andreas Brendel, Walter Kellermann:
Localization of multiple simultaneously active sources in acoustic sensor networks using ADP. CAMSAP 2017: 1-5 - 2015
- [i1]Heinrich W. Löllmann, Andreas Brendel, Peter Vary, Walter Kellermann:
Single-Channel Maximum-Likelihood T60 Estimation Exploiting Subband Information. CoRR abs/1511.04063 (2015)
Coauthor Index
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