Rohlfing, Katharina J., et al. “Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems.”10.1109/tcds.2020.3044366__IEEE Transactions on Cognitive and Developmental Systems, vol. 13, no. 3, 2021, pp. 717–28, doi:10.1109/tcds.2020.3044366.

Haeb-Umbach, Reinhold. “Sprachtechnologien Für Digitale Assistenten.” Studientexte Zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2020, edited by Ronald Böck et al., TUDpress, Dresden, 2020, pp. 227–34.

Boeddeker, Christoph, et al. “Jointly Optimal Dereverberation and Beamforming.”10.1109/icassp40776.2020.9054393__ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, doi:10.1109/icassp40776.2020.9054393.

Boeddeker, Christoph, et al. “Towards a Speaker Diarization System for the CHiME 2020 Dinner Party Transcription.” Proc. CHiME 2020 Workshop on Speech Processing in Everyday Environments, 2020.

Nakatani, Tomohiro, et al. “Jointly Optimal Denoising, Dereverberation, and Source Separation.”10.1109/TASLP.2020.3013118__IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2020, pp. 1–1, doi:10.1109/TASLP.2020.3013118.

Heitkaemper, Jens, et al. “Demystifying TasNet: A Dissecting Approach.” ICASSP 2020 Virtual Barcelona Spain, 2020.

Watanabe, Shinji, et al. “CHiME-6 Challenge:Tackling Multispeaker Speech Recognition for  Unsegmented Recordings.” ArXiv:2004.09249, 2020.

Heitkaemper, Jens, et al. “Statistical and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic Environments.” INTERSPEECH 2020 Virtual Shanghai China, 2020.

von Neumann, Thilo, et al. “End-to-End Training of Time Domain Audio Separation and Recognition.”10.1109/ICASSP40776.2020.9053461__ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, pp. 7004–08, doi:10.1109/ICASSP40776.2020.9053461.

von Neumann, Thilo, et al. “Multi-Talker ASR for an Unknown Number of Sources: Joint Training of Source Counting, Separation and ASR.”10.21437/Interspeech.2020-2519__Proc. Interspeech 2020, 2020, pp. 3097–101, doi:10.21437/Interspeech.2020-2519.

Gburrek, Tobias, et al. “Deep Neural Network Based Distance Estimation for Geometry Calibration in Acoustic Sensor Network.” European Signal Processing Conference (EUSIPCO), 2020.

Kinoshita, Keisuke, et al. “Multi-Path RNN for Hierarchical Modeling of Long Sequential Data and Its Application to Speaker Stream Separation.”10.21437/Interspeech.2020-2388__Proc. Interspeech 2020, 2020, pp. 2652–56, 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.” Proceedings of the Detection and Classification of Acoustic Scenes and Events 2020 Workshop (DCA), 2020.

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

Drude, Lukas, et al. “SMS-WSJ: Database, Performance Measures, and Baseline Recipe for Multi-Channel Source Separation and Recognition.” ArXiv E-Prints, 2019.

Drude, Lukas, et al. “Unsupervised Training of Neural Mask-Based Beamforming.” INTERSPEECH 2019, Graz, Austria, 2019.

Drude, Lukas, et al. “Unsupervised Training of a Deep Clustering Model for Multichannel Blind Source Separation.” ICASSP 2019, Brighton, UK, 2019.

Heymann, Jahn, et al. “Joint Optimization of Neural Network-Based WPE Dereverberation and Acoustic Model for Robust Online ASR.” ICASSP 2019, Brighton, UK, 2019.

Kurz, Gerhard, et al. “Directional Statistics and Filtering Using LibDirectional.” 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.”10.1109/JSTSP.2019.2912565__IEEE Journal of Selected Topics in Signal Processing, 2019, doi:10.1109/JSTSP.2019.2912565.