On the appropriateness of complex-valued neural networks for speech enhancement
L. Drude, B. Raj, R. Haeb-Umbach, in: INTERSPEECH 2016, San Francisco, USA, 2016.

Factor Graph Decoding for Speech Presence Probability Estimation
T. Glarner, M. Mahdi Momenzadeh, L. Drude, R. Haeb-Umbach, in: 12. ITG Fachtagung Sprachkommunikation (ITG 2016), 2016.

Neural Network Based Spectral Mask Estimation for Acoustic Beamforming
J. Heymann, L. Drude, R. Haeb-Umbach, in: Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2016.

On the Bias of Direction of Arrival Estimation Using Linear Microphone Arrays
F. Jacob, R. Haeb-Umbach, in: 12. ITG Fachtagung Sprachkommunikation (ITG 2016), 2016.

Wide Residual BLSTM Network with Discriminative Speaker Adaptation for Robust Speech Recognition
J. Heymann, L. Drude, R. Haeb-Umbach, in: Computer Speech and Language, 2016.

A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research
K. Kinoshita, M. Delcroix, S. Gannot, E.A.P. Habets, R. Haeb-Umbach, W. Kellermann, V. Leutnant, R. Maas, T. Nakatani, B. Raj, A. Sehr, T. Yoshioka, EURASIP Journal on Advances in Signal Processing (2016).

Acoustic Microphone Geometry Calibration: An overview and experimental evaluation of state-of-the-art algorithms
A. Plinge, F. Jacob, R. Haeb-Umbach, G.A. Fink, IEEE Signal Processing Magazine 33 (2016) 14–29.

The RWTH/UPB/FORTH System Combination for the 4th CHiME Challenge Evaluation
T. Menne, J. Heymann, A. Alexandridis, K. Irie, A. Zeyer, M. Kitza, P. Golik, I. Kulikov, L. Drude, R. Schlüter, H. Ney, R. Haeb-Umbach, A. Mouchtaris, in: Computer Speech and Language, 2016.

Unsupervised Word Discovery from Speech using Bayesian Hierarchical Models
O. Walter, R. Haeb-Umbach, in: 38th German Conference on Pattern Recognition (GCPR 2016), 2016.

Investigations into Bluetooth Low Energy Localization Precision Limits
J. Schmalenstroeer, R. Haeb-Umbach, in: 24th European Signal Processing Conference (EUSIPCO 2016), 2016.

On Optimal Smoothing in Minimum Statistics Based Noise Tracking
A. Chinaev, R. Haeb-Umbach, in: Interspeech 2015, 2015, pp. 1785–1789.

Semantic Analysis of Spoken Input using Markov Logic Networks
V. Despotovic, O. Walter, R. Haeb-Umbach, in: INTERSPEECH 2015, 2015.

DOA-Estimation based on a Complex Watson Kernel Method
L. Drude, F. Jacob, R. Haeb-Umbach, in: 23th European Signal Processing Conference (EUSIPCO 2015), 2015.

BLSTM supported GEV Beamformer Front-End for the 3RD CHiME Challenge
J. Heymann, L. Drude, A. Chinaev, R. Haeb-Umbach, in: Automatic Speech Recognition and Understanding Workshop (ASRU 2015), 2015.

Unsupervised adaptation of a denoising autoencoder by Bayesian Feature Enhancement for reverberant asr under mismatch conditions
J. Heymann, R. Haeb-Umbach, P. Golik, R. Schlueter, in: Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference On, 2015, pp. 5053–5057.

Absolute Geometry Calibration of Distributed Microphone Arrays in an Audio-Visual Sensor Network
F. Jacob, R. Haeb-Umbach, ArXiv E-Prints (2015).

Robust Automatic Speech Recognition
J. Li, L. Deng, R. Haeb-Umbach, Y. Gong, Robust Automatic Speech Recognition, Elsevier, 2015.

Typicality and Emotion in the Voice of Children with Autism Spectrum Condition: Evidence Across Three Languages
E. Marchi, B. Schuller, S. Baron-Cohen, O. Golan, S. Boelte, P. Arora, R. Haeb-Umbach, in: INTERSPEECH 2015, 2015.

Source Counting in Speech Mixtures by Nonparametric Bayesian Estimation of an infinite Gaussian Mixture Model
O. Walter, L. Drude, R. Haeb-Umbach, in: 40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015), 2015.

Autonomous Learning of Representations
O. Walter, R. Haeb-Umbach, B. Mokbel, B. Paassen, B. Hammer, KI - Kuenstliche Intelligenz (2015) 1–13.