Phase-sensitive real-time capable speech enhancement under voiced-unvoiced uncertainty. - Martin Krawczyk; Robert Rehr; Timo Gerkmann (EUSIPCO, 2013)

A posteriori voiced/unvoiced probability estimation based on a sinusoidal model. - Robert Rehr; Martin Krawczyk; Timo Gerkmann (ICASSP, 2014)

Cepstral noise subtraction for robust automatic speech recognition. - Robert Rehr; Timo Gerkmann (ICASSP, 2015)

On the bias of adaptive first-order recursive smoothing. - Robert Rehr; Timo Gerkmann (WASPAA, 2015)

Combination of MVDR beamforming and single-channel spectral processing for enhancing noisy and reverberant speech. - Benjamin Cauchi; Ina Kodrasi; Robert Rehr; Stephan Gerlach; Ante Jukic; Timo Gerkmann; Simon Doclo; Stefan Goetze (EURASIP J. Adv. Signal Process., 2015)

Front-end technologies for robust ASR in reverberant environments - spectral enhancement-based dereverberation and auditory modulation filterbank features. - Feifei Xiong; Bernd T. Meyer; Niko Moritz; Robert Rehr; Jörn Anemüller; Timo Gerkmann; Simon Doclo; Stefan Goetze (EURASIP J. Adv. Signal Process., 2015)

A Combination of Pre-Trained Approaches and Generic Methods for an Improved Speech Enhancement. - Robert Rehr; Timo Gerkmann (ITG Symposium on Speech Communication, 2016)

BIAS correction methods for adaptive recursive smoothing with applications in noise PSD estimation. - Robert Rehr; Timo Gerkmann (ICASSP, 2016)

MixMax Approximation as a Super-Gaussian Log-Spectral Amplitude Estimator for Speech Enhancement. - Robert Rehr; Timo Gerkmann (INTERSPEECH, 2017)

On the Importance of Super-Gaussian Speech Priors for Pre-Trained Speech Enhancement. - Robert Rehr; Timo Gerkmann (CoRR, 2017)

Improving the Generalizability of Deep Neural Network Based Speech Enhancement. - Robert Rehr; Timo Gerkmann (CoRR, 2017)

An Analysis of Adaptive Recursive Smoothing with Applications to Noise PSD Estimation. - Robert Rehr; Timo Gerkmann (IEEE ACM Trans. Audio Speech Lang. Process., 2017)

Robust DNN-Based Speech Enhancement with Limited Training Data. - Robert Rehr; Timo Gerkmann (ITG Symposium on Speech Communication, 2018)

On the Importance of Super-Gaussian Speech Priors for Machine-Learning Based Speech Enhancement. - Robert Rehr; Timo Gerkmann (IEEE ACM Trans. Audio Speech Lang. Process., 2018)

Robust Speech Enhancement Using Statistical Signal Processing and Machine-Learning (Robuste Sprachverbesserung mittels statistischer Signalverarbeitung und maschinellem Lernen) - Robert Rehr (2018)

An Analysis of Noise-aware Features in Combination with the Size and Diversity of Training Data for DNN-based Speech Enhancement. - Robert Rehr; Timo Gerkmann (ICASSP, 2019)

On Nonlinear Spatial Filtering in Multichannel Speech Enhancement. - Kristina Tesch; Robert Rehr; Timo Gerkmann (INTERSPEECH, 2019)

A Survey on Probabilistic Models in Human Perception and Machines. - Lux Li; Robert Rehr; Patrick Bruns; Timo Gerkmann; Brigitte Röder (Frontiers Robotics AI, 2020)

SNR-Based Features and Diverse Training Data for Robust DNN-Based Speech Enhancement. - Robert Rehr; Timo Gerkmann (IEEE ACM Trans. Audio Speech Lang. Process., 2021)