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ORCIDChristian Huemmer 0001
Person information
- affiliation: Friedrich-Alexander University Erlangen-Nürnberg, Chair of Multimedia Communications and Signal Processing, Audio Research Laboratory, Germany
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2010 – 2019
- 2019
[b1]Christian Erich Hümmer:
A Bayesian Network Approach to Selected Problems in Speech Signal Processing. University of Erlangen-Nuremberg, Germany, Verlag Dr. Hut 2019- [j8]Mhd Modar Halimeh
, Christian Huemmer, Walter Kellermann:
A Neural Network-Based Nonlinear Acoustic Echo Canceller. IEEE Signal Process. Lett. 26(12): 1827-1831 (2019) - 2018
- [j7]Christian Huemmer, Christian Hofmann, Roland Maas, Walter Kellermann:
Estimating Parameters of Nonlinear Systems Using the Elitist Particle Filter Based on Evolutionary Strategies. IEEE ACM Trans. Audio Speech Lang. Process. 26(3): 595-608 (2018) - [j6]Marc Delcroix, Keisuke Kinoshita, Atsunori Ogawa, Christian Huemmer, Tomohiro Nakatani:
Context Adaptive Neural Network Based Acoustic Models for Rapid Adaptation. IEEE ACM Trans. Audio Speech Lang. Process. 26(5): 895-908 (2018) - [c18]Mhd Modar Halimeh, Christian Huemmer, Walter Kellermann:
Nonlinear Acoustic Echo Cancellation Using Elitist Resampling Particle Filter. ICASSP 2018: 236-240 - [c17]Mhd Modar Halimeh, Christian Huemmer, Andreas Brendel, Walter Kellermann:
Hybrid Particle Filtering Based on an Elitist Resampling Scheme. SAM 2018: 257-261 - [c16]Hendrik Barfuss, Markus Bachmann, Christian Huemmer, Walter Kellermann:
Exploiting Microphone Array Symmetry for Robust Two-Dimensional Polynomial Beamforming. IWAENC 2018: 486-490 - 2017
- [j5]Hendrik Barfuss, Christian Huemmer, Andreas Schwarz, Walter Kellermann:
Robust coherence-based spectral enhancement for speech recognition in adverse real-world environments. Comput. Speech Lang. 46: 388-400 (2017) - [c15]Christian Huemmer, Ramón Fernandez Astudillo, Walter Kellermann:
An improved uncertainty decoding scheme with weighted samples for multi-channel DNN-HMM hybrid systems. HSCMA 2017: 31-35 - [c14]Christian Huemmer, Marc Delcroix, Atsunori Ogawa, Keisuke Kinoshita, Tomohiro Nakatani, Walter Kellermann:
Online environmental adaptation of CNN-based acoustic models using spatial diffuseness features. ICASSP 2017: 4875-4879 - [c13]Dung T. Tran, Marc Delcroix, Atsunori Ogawa, Christian Huemmer, Tomohiro Nakatani:
Feedback connection for deep neural network-based acoustic modeling. ICASSP 2017: 5240-5244 - 2016
- [j4]Christian Hofmann, Christian Huemmer, Michael Günther, Walter Kellermann:
Significance-aware filtering for nonlinear acoustic echo cancellation. EURASIP J. Adv. Signal Process. 2016: 113 (2016) - [c12]Christian Huemmer, Philipp Stadter, Walter Kellermann:
Uncertainty Decoding Using a Sampling Strategy Based on the Eigenvalue Decomposition. ITG Symposium on Speech Communication 2016: 1-5 - [c11]Christian Hofmann, Michael Günther, Christian Huemmer, Walter Kellermann:
Efficient nonlinear acoustic echo cancellation by partitioned-block Significance-Aware Hammerstein Group Models. EUSIPCO 2016: 1783-1787 - [c10]Christian Huemmer, Andreas Schwarz, Roland Maas, Hendrik Barfuss, Ramón Fernandez Astudillo, Walter Kellermann:
A new uncertainty decoding scheme for DNN-HMM hybrid systems with multichannel speech enhancement. ICASSP 2016: 5760-5764 - [i5]Hendrik Barfuss, Christian Huemmer, Andreas Schwarz, Walter Kellermann:
Robust coherence-based spectral enhancement for speech recognition in adverse real-world environments. CoRR abs/1604.03393 (2016) - [i4]Christian Huemmer, Ramón Fernandez Astudillo, Walter Kellermann:
An improved uncertainty decoding scheme with weighted samples for DNN-HMM hybrid systems. CoRR abs/1609.02082 (2016) - 2015
- [j3]Christian Huemmer, Roland Maas, Christian Hofmann, Walter Kellermann:
A Bayesian network approach to linear and nonlinear acoustic echo cancellation. EURASIP J. Adv. Signal Process. 2015: 98 (2015) - [j2]Roland Maas, Christian Huemmer, Armin Sehr, Walter Kellermann:
A Bayesian view on acoustic model-based techniques for robust speech recognition. EURASIP J. Adv. Signal Process. 2015: 103 (2015) - [j1]Christian Huemmer, Roland Maas, Walter Kellermann:
The NLMS Algorithm with Time-Variant Optimum Stepsize Derived from a Bayesian Network Perspective. IEEE Signal Process. Lett. 22(11): 1874-1878 (2015) - [c9]Andreas Schwarz, Christian Huemmer, Roland Maas, Walter Kellermann:
Spatial diffuseness features for DNN-based speech recognition in noisy and reverberant environments. ICASSP 2015: 4380-4384 - [c8]Christian Huemmer, Roland Maas, Andreas Schwarz, Ramón Fernandez Astudillo, Walter Kellermann:
Uncertainty decoding for DNN-HMM hybrid systems based on numerical sampling. INTERSPEECH 2015: 3556-3560 - [c7]Hendrik Barfuss, Christian Huemmer, Gleni Lamani, Andreas Schwarz, Walter Kellermann:
HRTF-based robust least-squares frequency-invariant beamforming. WASPAA 2015: 1-5 - [i3]Hendrik Barfuss, Christian Huemmer, Andreas Schwarz, Walter Kellermann:
Robust coherence-based spectral enhancement for distant speech recognition. CoRR abs/1509.06882 (2015) - 2014
- [c6]Roland Maas, Christian Huemmer, Christian Hofmann, Walter Kellermann:
On Bayesian Networks in Speech Signal Processing. ITG Symposium on Speech Communication 2014: 1-4 - [c5]Roland Maas, Christian Huemmer, Andreas Schwarz, Christian Hofmann, Walter Kellermann:
A Bayesian network viewon linear and nonlinear acoustic echo cancellation. ChinaSIP 2014: 495-499 - [c4]Christian Huemmer, Christian Hofmann, Roland Maas, Walter Kellermann:
The significance-aware EPFES to estimate a memoryless preprocessor for nonlinear acoustic echo cancellation. GlobalSIP 2014: 557-561 - [c3]Christian Huemmer, Christian Hofmann, Roland Maas, Andreas Schwarz, Walter Kellermann:
The elitist particle filter based on evolutionary strategies as novel approach for nonlinear acoustic echo cancellation. ICASSP 2014: 1315-1319 - [c2]Christian Hofmann, Christian Huemmer, Walter Kellermann:
Significance-aware Hammerstein group models for nonlinear acoustic echo cancellation. ICASSP 2014: 5934-5938 - [i2]Andreas Schwarz, Christian Huemmer, Roland Maas, Walter Kellermann:
Spatial Diffuseness Features for DNN-Based Speech Recognition in Noisy and Reverberant Environments. CoRR abs/1410.2479 (2014) - 2013
- [c1]Martin Schneider, Christian Huemmer, Walter Kellermann:
Wave-domain loudspeaker signal decorrelation for system identification in multichannel audio reproduction scenarios. ICASSP 2013: 605-609 - [i1]Roland Maas, Christian Huemmer, Armin Sehr, Walter Kellermann:
A Bayesian Network View on Acoustic Model-Based Techniques for Robust Speech Recognition. CoRR abs/1310.3099 (2013)
Coauthor Index
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