Drude, L., Raj, B., &; Haeb-Umbach, R. (2016). On the appropriateness of complex-valued neural networks for speech enhancement. In INTERSPEECH 2016, San Francisco, USA.
LibreCat: /record/11756

Glarner, T., Mahdi Momenzadeh, M., Drude, L., &; Haeb-Umbach, R. (2016). Factor Graph Decoding for Speech Presence Probability Estimation. In 12. ITG Fachtagung Sprachkommunikation (ITG 2016).
LibreCat: /record/11771

Heymann, J., Drude, L., &; Haeb-Umbach, R. (2016). Neural Network Based Spectral Mask Estimation for Acoustic Beamforming. In Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP).
LibreCat: /record/11812

Jacob, F., &; Haeb-Umbach, R. (2016). On the Bias of Direction of Arrival Estimation Using Linear Microphone Arrays. In 12. ITG Fachtagung Sprachkommunikation (ITG 2016).
LibreCat: /record/11829

Heymann, J., Drude, L., &; Haeb-Umbach, R. (2016). Wide Residual BLSTM Network with Discriminative Speaker Adaptation for Robust Speech Recognition. In Computer Speech and Language.
LibreCat: /record/11834

Kinoshita, K., Delcroix, M., Gannot, S., Habets, E. A. P., Haeb-Umbach, R., Kellermann, W.,  Yoshioka, T. (2016). A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research. EURASIP Journal on Advances in Signal Processing.
LibreCat: /record/11840

Plinge, A., Jacob, F., Haeb-Umbach, R., &; Fink, G. A. (2016). Acoustic Microphone Geometry Calibration: An overview and experimental evaluation of state-of-the-art algorithms. IEEE Signal Processing Magazine, 33(4), 14–29.https://doi.org/10.1109/MSP.2016.2555198 
LibreCat: /record/11886
DOI: 10.1109/MSP.2016.2555198

Menne, T., Heymann, J., Alexandridis, A., Irie, K., Zeyer, A., Kitza, M.,  Mouchtaris, A. (2016). The RWTH/UPB/FORTH System Combination for the 4th CHiME Challenge Evaluation. In Computer Speech and Language.
LibreCat: /record/11908

Walter, O., &; Haeb-Umbach, R. (2016). Unsupervised Word Discovery from Speech using Bayesian Hierarchical Models. In 38th German Conference on Pattern Recognition (GCPR 2016).
LibreCat: /record/11920

Schmalenstroeer, J., &; Haeb-Umbach, R. (2016). Investigations into Bluetooth Low Energy Localization Precision Limits. 24th European Signal Processing Conference (EUSIPCO 2016).
LibreCat: /record/11890

Chinaev, A., &; Haeb-Umbach, R. (2015). On Optimal Smoothing in Minimum Statistics Based Noise Tracking. In Interspeech 2015 (pp. 1785–1789).
LibreCat: /record/11739

Despotovic, V., Walter, O., &; Haeb-Umbach, R. (2015). Semantic Analysis of Spoken Input using Markov Logic Networks. In INTERSPEECH 2015.
LibreCat: /record/11748

Drude, L., Jacob, F., &; Haeb-Umbach, R. (2015). DOA-Estimation based on a Complex Watson Kernel Method. In 23th European Signal Processing Conference (EUSIPCO 2015).
LibreCat: /record/11755

Heymann, J., Drude, L., Chinaev, A., &; Haeb-Umbach, R. (2015). BLSTM supported GEV Beamformer Front-End for the 3RD CHiME Challenge. In Automatic Speech Recognition and Understanding Workshop (ASRU 2015).
LibreCat: /record/11810

Heymann, J., Haeb-Umbach, R., Golik, P., &; Schlueter, R. (2015). Unsupervised adaptation of a denoising autoencoder by Bayesian Feature Enhancement for reverberant asr under mismatch conditions. In Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on (pp. 5053–5057).https://doi.org/10.1109/ICASSP.2015.7178933 
LibreCat: /record/11813
DOI: 10.1109/ICASSP.2015.7178933

Jacob, F., &; Haeb-Umbach, R. (2015). Absolute Geometry Calibration of Distributed Microphone Arrays in an Audio-Visual Sensor Network. ArXiv E-Prints.
LibreCat: /record/11830

Li, J., Deng, L., Haeb-Umbach, R., &; Gong, Y. (2015). Robust Automatic Speech Recognition. Elsevier.
LibreCat: /record/11868

Marchi, E., Schuller, B., Baron-Cohen, S., Golan, O., Boelte, S., Arora, P., &; Haeb-Umbach, R. (2015). Typicality and Emotion in the Voice of Children with Autism Spectrum Condition: Evidence Across Three Languages. In INTERSPEECH 2015.
LibreCat: /record/11875

Walter, O., Drude, L., &; Haeb-Umbach, R. (2015). Source Counting in Speech Mixtures by Nonparametric Bayesian Estimation of an infinite Gaussian Mixture Model. In 40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015).
LibreCat: /record/11919

Walter, O., Haeb-Umbach, R., Mokbel, B., Paassen, B., &; Hammer, B. (2015). Autonomous Learning of Representations. KI - Kuenstliche Intelligenz, 1–13.http://dx.doi.org/10.1007/s13218-015-0372-1 
LibreCat: /record/11922
DOI: http://dx.doi.org/10.1007/s13218-015-0372-1