Neumann, Thilo von, Christoph Boeddeker, Lukas Drude, Keisuke Kinoshita, Marc Delcroix, Tomohiro Nakatani, and Reinhold Haeb-Umbach. “Multi-Talker ASR for an Unknown Number of Sources: Joint Training of Source Counting, Separation and ASR.”https://doi.org/10.21437/Interspeech.2020-2519__In Proc. Interspeech 2020, 3097–3101, 2020.https://doi.org/10.21437/Interspeech.2020-2519 .

Gburrek, Tobias, Joerg Schmalenstroeer, Andreas Brendel, Walter Kellermann, and Reinhold Haeb-Umbach. “Deep Neural Network Based Distance Estimation for Geometry Calibration in Acoustic Sensor Network.” In European Signal Processing Conference (EUSIPCO), 2020.

Kinoshita, Keisuke, Thilo von Neumann, Marc Delcroix, Tomohiro Nakatani, and Reinhold Haeb-Umbach. “Multi-Path RNN for Hierarchical Modeling of Long Sequential Data and Its Application to Speaker Stream Separation.”https://doi.org/10.21437/Interspeech.2020-2388__In Proc. Interspeech 2020, 2652–56, 2020.https://doi.org/10.21437/Interspeech.2020-2388 .

Ebbers, Janek, and Reinhold Haeb-Umbach. “Forward-Backward Convolutional Recurrent Neural Networks and Tag-Conditioned Convolutional Neural Networks for Weakly Labeled Semi-Supervised Sound Event Detection.” In Proceedings of the Detection and Classification of Acoustic Scenes and Events 2020 Workshop (DCA), 2020.

Haeb-Umbach, Reinhold. “Lektionen Für Alexa \'26; Co?!”https://doi.org/10.1002/fors.201970104__Forschung 44, no. 1 (2019): 12–15.https://doi.org/10.1002/fors.201970104 .

Drude, Lukas, Jens Heitkaemper, Christoph Boeddeker, and Reinhold Haeb-Umbach. “SMS-WSJ: Database, Performance Measures, and Baseline Recipe for Multi-Channel Source Separation and Recognition.” ArXiv E-Prints, 2019.

Drude, Lukas, Jahn Heymann, and Reinhold Haeb-Umbach. “Unsupervised Training of Neural Mask-Based Beamforming.” In INTERSPEECH 2019, Graz, Austria, 2019.

Drude, Lukas, Daniel Hasenklever, and Reinhold Haeb-Umbach. “Unsupervised Training of a Deep Clustering Model for Multichannel Blind Source Separation.” In ICASSP 2019, Brighton, UK, 2019.

Heymann, Jahn, Lukas Drude, Reinhold Haeb-Umbach, Keisuke Kinoshita, and Tomohiro Nakatani. “Joint Optimization of Neural Network-Based WPE Dereverberation and Acoustic Model for Robust Online ASR.” In ICASSP 2019, Brighton, UK, 2019.

Kurz, Gerhard, Igor Gilitschenski, Florian Pfaff, Lukas Drude, Uwe D. Hanebeck, Reinhold Haeb-Umbach, and Roland Y. Siegwart. “Directional Statistics and Filtering Using LibDirectional.” In Journal of Statistical Software 89(4), 2019.

Drude, Lukas, and Reinhold Haeb-Umbach. “Integration of Neural Networks and Probabilistic Spatial Models for Acoustic Blind Source Separation.”https://doi.org/10.1109/JSTSP.2019.2912565__IEEE Journal of Selected Topics in Signal Processing, 2019.https://doi.org/10.1109/JSTSP.2019.2912565 .

Heymann, Jahn, and Bo Li Khe Chai Sim. “Improving CTC Using Stimulated Learning for Sequence Modeling.” In ICASSP 2019, Brighton, UK, 2019.

Zorila, Catalin, Christoph Boeddeker, Rama Doddipatla, and Reinhold Haeb-Umbach. “An Investigation Into the Effectiveness of Enhancement in ASR Training and Test for Chime-5 Dinner Party Transcription.” In ASRU 2019, Sentosa, Singapore, 2019.

Heitkaemper, Jens, Thomas Feher, Michael Freitag, and Reinhold Haeb-Umbach. “A Study on Online Source Extraction in the Presence of Changing Speaker Positions.” In International Conference on Statistical Language and Speech Processing 2019, Ljubljana, Slovenia, 2019.

Martin-Donas, Juan M., Jens Heitkaemper, Reinhold Haeb-Umbach, Angel M. Gomez, and Antonio M. Peinado. “Multi-Channel Block-Online Source Extraction Based on Utterance Adaptation.” In INTERSPEECH 2019, Graz, Austria, 2019.

Kanda, Naoyuki, Christoph Boeddeker, Jens Heitkaemper, Yusuke Fujita, Shota Horiguchi, and Reinhold Haeb-Umbach. “Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASR.” In INTERSPEECH 2019, Graz, Austria, 2019.

Neumann, Thilo von, Keisuke Kinoshita, Marc Delcroix, Shoko Araki, Tomohiro Nakatani, and Reinhold Haeb-Umbach. “All-Neural Online Source Separation, Counting, and Diarization for Meeting Analysis.” In ICASSP 2019, Brighton, UK, 2019.

Haeb-Umbach, Reinhold, Shinji Watanabe, Tomohiro Nakatani, Michiel Bacchiani, Bjoern Hoffmeister, Michael L. Seltzer, Heiga Zen, and Mehrez Souden. “Speech Processing for Digital Home Assistance: Combining Signal Processing With Deep-Learning Techniques.”https://doi.org/10.1109/MSP.2019.2918706__IEEE Signal Processing Magazine 36, no. 6 (2019): 111–24.https://doi.org/10.1109/MSP.2019.2918706 .

Haeb-Umbach, Reinhold. “Lektionen Für Alexa &; Co?!”https://doi.org/10.1002/fors.201970104__DFG Forschung 1/2019, 2019, 12–15.https://doi.org/10.1002/fors.201970104 .

Gburrek, Tobias, Thomas Glarner, Janek Ebbers, Reinhold Haeb-Umbach, and Petra Wagner. “Unsupervised Learning of a Disentangled Speech Representation for Voice Conversion.”https://doi.org/10.21437/SSW.2019-15__In Proc. 10th ISCA Speech Synthesis Workshop, 81–86, 2019.https://doi.org/10.21437/SSW.2019-15 .