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Optimizing neural-network supported acoustic beamforming by algorithmic differentiation., , , , and . ICASSP, page 171-175. IEEE, (2017)Exploring Practical Aspects of Neural Mask-Based Beamforming for Far-Field Speech Recognition., , , and . ICASSP, page 6697-6701. IEEE, (2018)End-to-end training of time domain audio separation and recognition., , , , , , and . CoRR, (2019)Jointly Optimal Dereverberation and Beamforming., , , and . ICASSP, page 216-220. IEEE, (2020)Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASR., , , , , , and . INTERSPEECH, page 1248-1252. ISCA, (2019)Multi-Talker ASR for an Unknown Number of Sources: Joint Training of Source Counting, Separation and ASR., , , , , , and . INTERSPEECH, page 3097-3101. ISCA, (2020)Mixture Encoder for Joint Speech Separation and Recognition., , , , and . INTERSPEECH, page 3527-3531. ISCA, (2023)Convolutive Transfer Function Invariant SDR training criteria for Multi-Channel Reverberant Speech Separation., , , , , , , , , and . CoRR, (2020)Multi-stage coherence drift based sampling rate synchronization for acoustic beamforming., , , , and . MMSP, page 1-6. IEEE, (2017)Beamnet: End-to-end training of a beamformer-supported multi-channel ASR system., , , , and . ICASSP, page 5325-5329. IEEE, (2017)