Christian Hümmer

Lehrstuhl für Hochfrequenztechnik Professur für Signalverarbeitung

Uncertainty decoding using a sampling strategy based on the eigenvalue decomposition (2016) Hümmer C, Stadter P, Kellermann W Conference contribution Efficient nonlinear acoustic echo cancellation by partitioned-block significance-aware Hammerstein group models (2016) Hofmann C, Günther M, Hümmer C, Kellermann W Conference contribution, Conference Contribution A new uncertainty decoding scheme for DNN-HMM hybrid systems with multichannel speech enhancement (2016) Hümmer C, Schwarz A, Maas R, Barfuß H, Astudillo RF, Kellermann W Conference contribution, Conference Contribution A Bayesian view on acoustic model-based techniques for robust speech recognition (2015) Maas R, Hümmer C, Sehr A, Kellermann W Journal article, Review article A Bayesian network approach to linear and nonlinear acoustic echo cancellation (2015) Hümmer C, Maas R, Hofmann C, Kellermann W Journal article, Original article HRTF-based robust least-squares frequency-invariant beamforming (2015) Barfuß H, Hümmer C, Lamani G, Schwarz A, Kellermann W Conference contribution, Conference Contribution Uncertainty decoding for DNN-HMM hybrid systems based on numerical sampling (2015) Hümmer C, Maas R, Schwarz A, Astudillo RF, Kellermann W Conference contribution, Conference Contribution The NLMS algorithm with time-variant optimum stepsize derived from a Bayesian network perspective (2015) Hümmer C, Maas R, Kellermann W Journal article, Original article Spatial diffuseness features for DNN-based speech recognition in noisy and reverberant environments (2015) Schwarz A, Hümmer C, Maas R, Kellermann W Conference contribution, Conference Contribution The significance-aware EPFES to estimate a memoryless preprocessor for nonlinear acoustic echo cancellation (2014) Hümmer C, Hofmann C, Maas R, Kellermann W Conference contribution, Conference Contribution