Robert Rehr

20 papers A 2Misc 4Journal 9Unranked 4
YearRankTypeTitle / Venue / Authors
2021 J jnl
SNR-Based Features and Diverse Training Data for Robust DNN-Based Speech Enhancement.
IEEE ACM Trans. Audio Speech Lang. Process.
Robert Rehr, Timo Gerkmann
2020 J jnl
A Survey on Probabilistic Models in Human Perception and Machines.
Frontiers Robotics AI
Lux Li, Robert Rehr, Patrick Bruns, Timo Gerkmann, Brigitte Röder
2020 J jnl
SNR-Based Features and Diverse Training Data for Robust DNN-Based Speech Enhancement.
CoRR
Robert Rehr, Timo Gerkmann
2019 Misc conf
An Analysis of Noise-aware Features in Combination with the Size and Diversity of Training Data for DNN-based Speech Enhancement.
ICASSP
Robert Rehr, Timo Gerkmann
2019 A conf
On Nonlinear Spatial Filtering in Multichannel Speech Enhancement.
INTERSPEECH
Kristina Tesch, Robert Rehr, Timo Gerkmann
2018 J jnl
On the Importance of Super-Gaussian Speech Priors for Machine-Learning Based Speech Enhancement.
IEEE ACM Trans. Audio Speech Lang. Process.
Robert Rehr, Timo Gerkmann
2018 — conf
Robust DNN-Based Speech Enhancement with Limited Training Data.
ITG Symposium on Speech Communication
Robert Rehr, Timo Gerkmann
2018 — —
Robust Speech Enhancement Using Statistical Signal Processing and Machine-Learning (Robuste Sprachverbesserung mittels statistischer Signalverarbeitung und maschinellem Lernen)
Robert Rehr
2017 J jnl
An Analysis of Adaptive Recursive Smoothing with Applications to Noise PSD Estimation.
IEEE ACM Trans. Audio Speech Lang. Process.
Robert Rehr, Timo Gerkmann
2017 J jnl
Improving the Generalizability of Deep Neural Network Based Speech Enhancement.
CoRR
Robert Rehr, Timo Gerkmann
2017 A conf
MixMax Approximation as a Super-Gaussian Log-Spectral Amplitude Estimator for Speech Enhancement.
INTERSPEECH
Robert Rehr, Timo Gerkmann
2017 J jnl
On the Importance of Super-Gaussian Speech Priors for Pre-Trained Speech Enhancement.
CoRR
Robert Rehr, Timo Gerkmann
2016 — conf
A Combination of Pre-Trained Approaches and Generic Methods for an Improved Speech Enhancement.
ITG Symposium on Speech Communication
Robert Rehr, Timo Gerkmann
2016 Misc conf
BIAS correction methods for adaptive recursive smoothing with applications in noise PSD estimation.
ICASSP
Robert Rehr, Timo Gerkmann
2015 Misc conf
Cepstral noise subtraction for robust automatic speech recognition.
ICASSP
Robert Rehr, Timo Gerkmann
2015 J jnl
Combination of MVDR beamforming and single-channel spectral processing for enhancing noisy and reverberant speech.
EURASIP J. Adv. Signal Process.
Benjamin Cauchi, Ina Kodrasi, Robert Rehr, Stephan Gerlach, Ante Jukic, Timo Gerkmann, Simon Doclo, Stefan Goetze
2015 J jnl
Front-end technologies for robust ASR in reverberant environments - spectral enhancement-based dereverberation and auditory modulation filterbank features.
EURASIP J. Adv. Signal Process.
Feifei Xiong, Bernd T. Meyer, Niko Moritz, Robert Rehr, Jörn Anemüller, Timo Gerkmann, Simon Doclo, Stefan Goetze
2015 — conf
On the bias of adaptive first-order recursive smoothing.
WASPAA
Robert Rehr, Timo Gerkmann
2014 Misc conf
A posteriori voiced/unvoiced probability estimation based on a sinusoidal model.
ICASSP
Robert Rehr, Martin Krawczyk, Timo Gerkmann
2013 — conf
Phase-sensitive real-time capable speech enhancement under voiced-unvoiced uncertainty.
EUSIPCO
Martin Krawczyk, Robert Rehr, Timo Gerkmann