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Speaker Activity Driven Neural Speech Extraction., , , , and . ICASSP, page 6099-6103. IEEE, (2021)Simpleflat: A Simple Whole-Network Pre-Training Approach for RNN Transducer-Based End-to-End Speech Recognition., , , , , , , , and . ICASSP, page 5664-5668. IEEE, (2021)DNN-supported Mask-based Convolutional Beamforming for Simultaneous Denoising, Dereverberation, and Source Separation., , , , , , and . ICASSP, page 6399-6403. IEEE, (2020)Beam-TasNet: Time-domain Audio Separation Network Meets Frequency-domain Beamformer., , , , , and . ICASSP, page 6384-6388. IEEE, (2020)A Unified Framework for Neural Speech Separation and Extraction., , , , and . ICASSP, page 6975-6979. IEEE, (2019)Does speech enhancement work with end-to-end ASR objectives?: Experimental analysis of multichannel end-to-end ASR., , and . MLSP, page 1-6. IEEE, (2017)Knowledge Distillation for Neural Transducer-based Target-Speaker ASR: Exploiting Parallel Mixture/Single-Talker Speech Data., , , , , , , , , and . INTERSPEECH, page 899-903. ISCA, (2023)End-to-End SpeakerBeam for Single Channel Target Speech Recognition., , , , , , and . INTERSPEECH, page 451-455. ISCA, (2019)SpeakerBeam-SS: Real-time Target Speaker Extraction with Lightweight Conv-TasNet and State Space Modeling., , , , , , , , and . CoRR, (2024)Rethinking Processing Distortions: Disentangling the Impact of Speech Enhancement Errors on Speech Recognition Performance., , , , , , and . IEEE ACM Trans. Audio Speech Lang. Process., (2024)