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 .
LibreCat: /record/20764
DOI: 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.
LibreCat: /record/18651

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 .
LibreCat: /record/20766
DOI: 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.
LibreCat: /record/20753

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 .
LibreCat: /record/17762
DOI: 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.
LibreCat: /record/19446

Drude, Lukas, Jahn Heymann, and Reinhold Haeb-Umbach. “Unsupervised Training of Neural Mask-Based Beamforming.” In INTERSPEECH 2019, Graz, Austria, 2019.
LibreCat: /record/11965

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.
LibreCat: /record/12874

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.
LibreCat: /record/12875

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.
LibreCat: /record/12876

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 .
LibreCat: /record/12890
DOI: 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.
LibreCat: /record/15812

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.
LibreCat: /record/15816

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.
LibreCat: /record/14822

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.
LibreCat: /record/14824

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.
LibreCat: /record/14826

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.
LibreCat: /record/13271

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 .
LibreCat: /record/15814
DOI: 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 .
LibreCat: /record/19450
DOI: 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 .
LibreCat: /record/15237
DOI: 10.21437/SSW.2019-15