Drude, L., Heymann, J., &; Haeb-Umbach, R. (2019). Unsupervised training of neural mask-based beamforming. In INTERSPEECH 2019, Graz, Austria.

Heymann, J., Drude, L., Haeb-Umbach, R., Kinoshita, K., &; Nakatani, T. (2019). Joint Optimization of Neural Network-based WPE Dereverberation and Acoustic Model for Robust Online ASR. In ICASSP 2019, Brighton, UK.

Heymann, J., Bacchiani, M., &; Sainath, T. N. (2018). Performance of Mask Based Statistical Beamforming in a Smart Home Scenario. In 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 6722–6726).https://doi.org/10.1109/ICASSP.2018.8462372 

Heymann, J., Drude, L., Haeb-Umbach, R., Kinoshita, K., &; Nakatani, T. (2018). Frame-Online DNN-WPE Dereverberation. In IWAENC 2018, Tokio, Japan.

Heitkaemper, J., Heymann, J., &; Haeb-Umbach, R. (2018). Smoothing along Frequency in Online Neural Network Supported Acoustic Beamforming. In ITG 2018, Oldenburg, Germany.

Drude, L., Boeddeker, C., Heymann, J., Kinoshita, K., Delcroix, M., Nakatani, T., &; Haeb-Umbach, R. (2018). Integration neural network based beamforming and weighted prediction error dereverberation. In INTERSPEECH 2018, Hyderabad, India.

Drude, L., Heymann, J., Boeddeker, C., &; Haeb-Umbach, R. (2018). NARA-WPE: A Python package for weighted prediction error dereverberation in Numpy and Tensorflow for online and offline processing. In ITG 2018, Oldenburg, Germany.

Watanabe, S., Hori, T., Karita, S., Hayashi, T., Nishitoba, J., Unno, Y., Enrique Yalta Soplin, N., Heymann, J., Wiesner, M., Chen, N., Renduchintala, A., &; Ochiai, T. (2018). ESPnet: End-to-End Speech Processing Toolkit. INTERSPEECH 2018, Hyderabad, India, 2207–2211.https://doi.org/10.21437/Interspeech.2018-1456 

Kitza, M., Michel, W., Boeddeker, C., Heitkaemper, J., Menne, T., Schlüter, R., Ney, H., Schmalenstroeer, J., Drude, L., Heymann, J., &; Haeb-Umbach, R. (2018). The RWTH/UPB System Combination for the CHiME 2018 Workshop. Proc. CHiME 2018 Workshop on Speech Processing in Everyday Environments, Hyderabad, India.

Boeddeker, C., Hanebrink, P., Drude, L., Heymann, J., &; Haeb-Umbach, R. (2017). On the Computation of Complex-valued Gradients with Application to Statistically Optimum Beamforming.

Boeddeker, C., Hanebrink, P., Drude, L., Heymann, J., &; Haeb-Umbach, R. (2017). Optimizing Neural-Network Supported Acoustic Beamforming by Algorithmic Differentiation. In Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP).

Heymann, J., Drude, L., Boeddeker, C., Hanebrink, P., &; Haeb-Umbach, R. (2017). BEAMNET: End-to-End Training of a Beamformer-Supported Multi-Channel ASR System. In Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP).

Heymann, J., Drude, L., &; Haeb-Umbach, R. (2017). A Generic Neural Acoustic Beamforming Architecture for Robust Multi-Channel Speech Processing. Computer Speech and Language.

Ebbers, J., Heymann, J., Drude, L., Glarner, T., Haeb-Umbach, R., &; Raj, B. (2017). Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery. INTERSPEECH 2017, Stockholm, Schweden.

Schmalenstroeer, J., Heymann, J., Drude, L., Boeddeker, C., &; Haeb-Umbach, R. (2017). Multi-Stage Coherence Drift Based Sampling Rate Synchronization for Acoustic Beamforming. IEEE 19th International Workshop on Multimedia Signal Processing (MMSP).

Chinaev, A., Heymann, J., Drude, L., &; Haeb-Umbach, R. (2016). Noise-Presence-Probability-Based Noise PSD Estimation by Using DNNs. In 12. ITG Fachtagung Sprachkommunikation (ITG 2016).

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).

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.

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.

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).