Gburrek, T., Schmalenstroeer, J., &; Haeb-Umbach, R. (2023). On the Integration of Sampling Rate Synchronization and Acoustic Beamforming. European Signal Processing Conference (EUSIPCO). European Signal Processing Conference (EUSIPCO), Helsinki.

Schmalenstroeer, J., Gburrek, T., &; Haeb-Umbach, R. (2023). LibriWASN: A Data Set for Meeting Separation, Diarization, and Recognition with Asynchronous Recording Devices. ITG Conference on Speech Communication. ITG Conference on Speech Communication, Aachen.

Gburrek, T., Schmalenstroeer, J., &; Haeb-Umbach, R. (2023). Spatial Diarization for Meeting Transcription with Ad-Hoc Acoustic Sensor Networks. Proc. Asilomar Conference on Signals, Systems, and Computers. 57th Asilomar Conference on Signals, Systems, and Computers.

Afifi, H., Karl, H., Gburrek, T., &; Schmalenstroeer, J. (2022). Data-driven Time Synchronization in Wireless Multimedia Networks. 2022 International Wireless Communications and Mobile Computing (IWCMC).https://doi.org/10.1109/iwcmc55113.2022.9824980 

Gburrek, T., Schmalenstroeer, J., &; Haeb-Umbach, R. (2022). On Synchronization of Wireless Acoustic Sensor Networks in the Presence of Time-Varying Sampling Rate Offsets and Speaker Changes. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).https://doi.org/10.1109/icassp43922.2022.9746284 

Gburrek, T., Schmalenstroeer, J., Heitkaemper, J., &; Haeb-Umbach, R. (2022). Informed vs. Blind Beamforming in Ad-Hoc Acoustic Sensor Networks for Meeting Transcription. 2022 International Workshop on Acoustic Signal Enhancement (IWAENC). 17th International Workshop on Acoustic Signal Enhancement (IWAENC 2022),https://doi.org/10.1109/IWAENC53105.2022.9914772__Bamberg, Germany .https://doi.org/10.1109/IWAENC53105.2022.9914772 

Gburrek, T., Boeddeker, C., von Neumann, T., Cord-Landwehr, T., Schmalenstroeer, J., &; Haeb-Umbach, R. (2022). A Meeting Transcription System for an Ad-Hoc Acoustic Sensor Network. arXiv.https://doi.org/10.48550/ARXIV.2205.00944 

Gburrek, T., Schmalenstroeer, J., &; Haeb-Umbach, R. (2021). Geometry calibration in wireless acoustic sensor networks utilizing DoA and distance information. EURASIP Journal on Audio, Speech, and Music Processing.https://doi.org/10.1186/s13636-021-00210-x 

Gburrek, T., Schmalenstroeer, J., &; Haeb-Umbach, R. (2021). Iterative Geometry Calibration from Distance Estimates for Wireless Acoustic Sensor Networks. ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).https://doi.org/10.1109/icassp39728.2021.9413831 

Gburrek, T., Schmalenstroeer, J., &; Haeb-Umbach, R. (2021). On Source-Microphone Distance Estimation Using Convolutional Recurrent Neural Networks. Speech Communication; 14th ITG-Symposium, 1–5.

Chinaev, A., Enzner, G., Gburrek, T., &; Schmalenstroeer, J. (2021). Online Estimation of Sampling Rate Offsets in Wireless Acoustic Sensor Networks with Packet Loss. 29th European Signal Processing Conference (EUSIPCO), 1–5.

Gburrek, T., Schmalenstroeer, J., Brendel, A., Kellermann, W., &; Haeb-Umbach, R. (2020). Deep Neural Network based Distance Estimation for Geometry Calibration in Acoustic Sensor Network. European Signal Processing Conference (EUSIPCO).

Gburrek, T., Glarner, T., Ebbers, J., Haeb-Umbach, R., &; Wagner, P. (2019). Unsupervised Learning of a Disentangled Speech Representation for Voice Conversion. Proc. 10th ISCA Speech Synthesis Workshop, 81–86.https://doi.org/10.21437/SSW.2019-15