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Exploring multi-channel features for denoising-autoencoder-based speech enhancement., , , , , and . ICASSP, page 116-120. IEEE, (2015)Estimation of Sampling Frequency Mismatch between Distributed Asynchronous Microphones under Existence of Source Movements with Stationary Time Periods Detection., , , and . ICASSP, page 785-789. IEEE, (2019)All-neural Online Source Separation, Counting, and Diarization for Meeting Analysis., , , , , and . ICASSP, page 91-95. IEEE, (2019)Optimization of Speaker-Aware Multichannel Speech Extraction with ASR Criterion., , , , , and . ICASSP, page 6702-6706. IEEE, (2018)Rescoring N-Best Speech Recognition List Based on One-on-One Hypothesis Comparison Using Encoder-Classifier Model., , , and . ICASSP, page 6099-6103. IEEE, (2018)Feedback connection for deep neural network-based acoustic modeling., , , , and . ICASSP, page 5240-5244. IEEE, (2017)Learning speaker representation for neural network based multichannel speaker extraction., , , , , and . ASRU, page 8-15. IEEE, (2017)Adversarial training for data-driven speech enhancement without parallel corpus., , , and . ASRU, page 40-47. IEEE, (2017)Continuous Speech Separation Using Speaker Inventory for Long Multi-talker Recording., , , , , , , , , and 1 other author(s). CoRR, (2020)Discriminative Training of VBx Diarization., , , , , , and . CoRR, (2023)