Neumann, Thilo von, Christoph Boeddeker, Keisuke Kinoshita, Marc Delcroix, and Reinhold Haeb-Umbach. “Speeding Up Permutation Invariant Training for Source Separation.” In Speech Communication; 14th ITG Conference, 2021.
LibreCat: /record/29173

Ebbers, Janek, and Reinhold Haeb-Umbach. “Self-Trained Audio Tagging and Sound Event Detection in Domestic Environments.” In Proceedings of the 6th Detection and Classification of Acoustic Scenes and Events 2021 Workshop (DCA), 226–230. Barcelona, Spain, 2021.
LibreCat: /record/29308

Ebbers, Janek, Moritz Curt Keyser, and Reinhold Haeb-Umbach. “Adapting Sound Recognition to A New Environment Via Self-Training.” In Proceedings of the 29th European Signal Processing Conference (EUSIPCO), 1135–1139, 2021.
LibreCat: /record/29306

Rohlfing, Katharina J., Philipp Cimiano, Ingrid Scharlau, Tobias Matzner, Heike M. Buhl, Hendrik Buschmeier, Elena Esposito, et al. “Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems.”https://doi.org/10.1109/tcds.2020.3044366__IEEE Transactions on Cognitive and Developmental Systems 13, no. 3 (2021): 717–28.https://doi.org/10.1109/tcds.2020.3044366 .
LibreCat: /record/24456
DOI: 10.1109/tcds.2020.3044366

Haeb-Umbach, Reinhold. “Sprachtechnologien Für Digitale Assistenten.” In Studientexte Zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2020, edited by Ronald Böck, Ingo Siegert, and Andreas Wendemuth, 227–34. TUDpress, Dresden, 2020.
LibreCat: /record/17763

Boeddeker, Christoph, Tobias Cord-Landwehr, Jens Heitkaemper, Catalin Zorila, Daichi Hayakawa, Mohan Li, Min Liu, Rama Doddipatla, and Reinhold Haeb-Umbach. “Towards a Speaker Diarization System for the CHiME 2020 Dinner Party Transcription.” In Proc. CHiME 2020 Workshop on Speech Processing in Everyday Environments, 2020.
LibreCat: /record/20700

Nakatani, Tomohiro, Christoph Boeddeker, Keisuke Kinoshita, Rintaro Ikeshita, Marc Delcroix, and Reinhold Haeb-Umbach. “Jointly Optimal Denoising, Dereverberation, and Source Separation.”https://doi.org/10.1109/TASLP.2020.3013118__IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2020, 1–1.https://doi.org/10.1109/TASLP.2020.3013118 .
LibreCat: /record/17598
DOI: 10.1109/TASLP.2020.3013118

Heitkaemper, Jens, Darius Jakobeit, Christoph Boeddeker, Lukas Drude, and Reinhold Haeb-Umbach. “Demystifying TasNet: A Dissecting Approach.” In ICASSP 2020 Virtual Barcelona Spain, 2020.
LibreCat: /record/20504

Heitkaemper, Jens, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “Statistical and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic Environments.” In INTERSPEECH 2020 Virtual Shanghai China, 2020.
LibreCat: /record/20505

Neumann, Thilo von, Keisuke Kinoshita, Lukas Drude, Christoph Boeddeker, Marc Delcroix, Tomohiro Nakatani, and Reinhold Haeb-Umbach. “End-to-End Training of Time Domain Audio Separation and Recognition.”https://doi.org/10.1109/ICASSP40776.2020.9053461__In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 7004–8, 2020.https://doi.org/10.1109/ICASSP40776.2020.9053461 .
LibreCat: /record/20762
DOI: 10.1109/ICASSP40776.2020.9053461

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