von Neumann, Thilo, et al. “Segment-Less Continuous Speech Separation of Meetings: Training and Evaluation Criteria.”10.1109/taslp.2022.3228629__IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 31, Institute of Electrical and Electronics Engineers (IEEE), 2023, pp. 576–89, doi:10.1109/taslp.2022.3228629.

von Neumann, Thilo, et al. “On Word Error Rate Definitions and Their Efficient Computation for Multi-Speaker Speech Recognition Systems.”10.1109/icassp49357.2023.10094784__ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 2023, doi:10.1109/icassp49357.2023.10094784.

von Neumann, Thilo, et al. “MeetEval: A Toolkit for Computation of Word Error Rates for Meeting Transcription Systems.” Proc. CHiME 2023 Workshop on Speech Processing in Everyday Environments, 2023.

Boeddeker, Christoph, et al. “An Initialization Scheme for Meeting Separation with Spatial Mixture Models.”10.21437/interspeech.2022-10929__Interspeech 2022, ISCA, 2022, doi:10.21437/interspeech.2022-10929.

Kinoshita, Keisuke, et al. “Utterance-by-Utterance Overlap-Aware Neural Diarization with Graph-PIT.”10.21437/Interspeech.2022-11408__Proc. Interspeech 2022, ISCA, 2022, pp. 1486–90, doi:10.21437/Interspeech.2022-11408.

von Neumann, Thilo, et al. “SA-SDR: A Novel Loss Function for Separation of Meeting Style Data.”10.1109/icassp43922.2022.9746757__ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 2022, doi:10.1109/icassp43922.2022.9746757.

Cord-Landwehr, Tobias, et al. “MMS-MSG: A Multi-Purpose Multi-Speaker Mixture Signal Generator.” 2022 International Workshop on Acoustic Signal Enhancement (IWAENC), 2022.

Cord-Landwehr, Tobias, et al. “Monaural Source Separation: From Anechoic to Reverberant Environments.” 2022 International Workshop on Acoustic Signal Enhancement (IWAENC), IEEE, 2022.

Gburrek, Tobias, et al. A Meeting Transcription System for an Ad-Hoc Acoustic Sensor Network. arXiv, 2022, doi:10.48550/ARXIV.2205.00944.

von Neumann, Thilo, et al. “Graph-PIT: Generalized Permutation Invariant Training for Continuous Separation of Arbitrary Numbers of Speakers.”10.21437/interspeech.2021-1177__Interspeech 2021, 2021, doi:10.21437/interspeech.2021-1177.

von Neumann, Thilo, et al. “Speeding Up Permutation Invariant Training for Source Separation.” Speech Communication; 14th ITG Conference, 2021.

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.

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.