Christian Huemmer

Orcid: 0000-0002-4341-4217

Affiliations:
  • Friedrich-Alexander University Erlangen-Nürnberg, Chair of Multimedia Communications and Signal Processing, Audio Research Laboratory, Germany


According to our database1, Christian Huemmer authored at least 30 papers between 2013 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2019
A Bayesian Network Approach to Selected Problems in Speech Signal Processing.
PhD thesis, 2019

A Neural Network-Based Nonlinear Acoustic Echo Canceller.
IEEE Signal Process. Lett., 2019

2018
Estimating Parameters of Nonlinear Systems Using the Elitist Particle Filter Based on Evolutionary Strategies.
IEEE ACM Trans. Audio Speech Lang. Process., 2018

Context Adaptive Neural Network Based Acoustic Models for Rapid Adaptation.
IEEE ACM Trans. Audio Speech Lang. Process., 2018

Exploiting Microphone Array Symmetry for Robust Two-Dimensional Polynomial Beamforming.
Proceedings of the 16th International Workshop on Acoustic Signal Enhancement, 2018

Hybrid Particle Filtering Based on an Elitist Resampling Scheme.
Proceedings of the 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2018

Nonlinear Acoustic Echo Cancellation Using Elitist Resampling Particle Filter.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Robust coherence-based spectral enhancement for speech recognition in adverse real-world environments.
Comput. Speech Lang., 2017

Feedback connection for deep neural network-based acoustic modeling.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Online environmental adaptation of CNN-based acoustic models using spatial diffuseness features.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

An improved uncertainty decoding scheme with weighted samples for multi-channel DNN-HMM hybrid systems.
Proceedings of the Hands-free Speech Communications and Microphone Arrays, 2017

2016
Significance-aware filtering for nonlinear acoustic echo cancellation.
EURASIP J. Adv. Signal Process., 2016

An improved uncertainty decoding scheme with weighted samples for DNN-HMM hybrid systems.
CoRR, 2016

A new uncertainty decoding scheme for DNN-HMM hybrid systems with multichannel speech enhancement.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Efficient nonlinear acoustic echo cancellation by partitioned-block Significance-Aware Hammerstein Group Models.
Proceedings of the 24th European Signal Processing Conference, 2016

Uncertainty Decoding Using a Sampling Strategy Based on the Eigenvalue Decomposition.
Proceedings of the 12th ITG Symposium on Speech Communication, 2016

2015
The NLMS Algorithm with Time-Variant Optimum Stepsize Derived from a Bayesian Network Perspective.
IEEE Signal Process. Lett., 2015

A Bayesian view on acoustic model-based techniques for robust speech recognition.
EURASIP J. Adv. Signal Process., 2015

A Bayesian network approach to linear and nonlinear acoustic echo cancellation.
EURASIP J. Adv. Signal Process., 2015

Robust coherence-based spectral enhancement for distant speech recognition.
CoRR, 2015

HRTF-based robust least-squares frequency-invariant beamforming.
Proceedings of the 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2015

Uncertainty decoding for DNN-HMM hybrid systems based on numerical sampling.
Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

Spatial diffuseness features for DNN-based speech recognition in noisy and reverberant environments.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
The elitist particle filter based on evolutionary strategies as novel approach for nonlinear acoustic echo cancellation.
Proceedings of the IEEE International Conference on Acoustics, 2014

Significance-aware Hammerstein group models for nonlinear acoustic echo cancellation.
Proceedings of the IEEE International Conference on Acoustics, 2014

The significance-aware EPFES to estimate a memoryless preprocessor for nonlinear acoustic echo cancellation.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

A Bayesian network viewon linear and nonlinear acoustic echo cancellation.
Proceedings of the IEEE China Summit & International Conference on Signal and Information Processing, 2014

On Bayesian Networks in Speech Signal Processing.
Proceedings of the 11th ITG Symposium on Speech Communication, 2014

2013
A Bayesian Network View on Acoustic Model-Based Techniques for Robust Speech Recognition.
CoRR, 2013

Wave-domain loudspeaker signal decorrelation for system identification in multichannel audio reproduction scenarios.
Proceedings of the IEEE International Conference on Acoustics, 2013


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