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

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

Ebbers J, Haeb-Umbach R, Serizel R. Threshold Independent Evaluation of Sound Event Detection Scores. In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). ; 2022.
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Haeb-Umbach R, Heymann J, Drude L, Watanabe S, Delcroix M, Nakatani T. Far-Field Automatic Speech Recognition. Proceedings of the IEEE. 2021;109(2):124-148. doi:10.1109/JPROC.2020.3018668
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Zhang W, Boeddeker C, Watanabe S, et al. End-to-End Dereverberation, Beamforming, and Speech Recognition with Improved Numerical Stability and Advanced Frontend. In: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). ; 2021. doi:10.1109/icassp39728.2021.9414464
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Li C, Shi J, Zhang W, et al. ESPnet-SE: End-To-End Speech Enhancement and Separation Toolkit Designed for ASR Integration. In: 2021 IEEE Spoken Language Technology Workshop (SLT). ; 2021. doi:10.1109/slt48900.2021.9383615
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DOI: 10.1109/slt48900.2021.9383615

Li C, Luo Y, Han C, et al. Dual-Path RNN for Long Recording Speech Separation. In: 2021 IEEE Spoken Language Technology Workshop (SLT). ; 2021. doi:10.1109/slt48900.2021.9383514
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DOI: 10.1109/slt48900.2021.9383514

Heitkaemper J, Schmalenstroeer J, Ion V, Haeb-Umbach R. A Database for Research on Detection and Enhancement of Speech Transmitted over HF links. In: Speech Communication; 14th ITG-Symposium. ; 2021:1-5.
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Boeddeker C, Rautenberg F, Haeb-Umbach R. A Comparison and Combination of Unsupervised Blind Source Separation  Techniques. In: ITG Conference on Speech Communication. ; 2021.
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arXiv: 2106.05627

Boeddeker C, Zhang W, Nakatani T, et al. Convolutive Transfer Function Invariant SDR Training Criteria for Multi-Channel Reverberant Speech Separation. In: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). ; 2021. doi:10.1109/icassp39728.2021.9414661
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DOI: 10.1109/icassp39728.2021.9414661