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End-to-end training of time domain audio separation and recognition., , , , , , и . CoRR, (2019)Lattice Rescoring Based on Large Ensemble of Complementary Neural Language Models., , , и . ICASSP, стр. 6517-6521. IEEE, (2022)Learning speaker representation for neural network based multichannel speaker extraction., , , , , и . ASRU, стр. 8-15. IEEE, (2017)Adversarial training for data-driven speech enhancement without parallel corpus., , , и . ASRU, стр. 40-47. IEEE, (2017)Optimization of Speaker-Aware Multichannel Speech Extraction with ASR Criterion., , , , , и . ICASSP, стр. 6702-6706. IEEE, (2018)Rescoring N-Best Speech Recognition List Based on One-on-One Hypothesis Comparison Using Encoder-Classifier Model., , , и . ICASSP, стр. 6099-6103. IEEE, (2018)Estimation of Sampling Frequency Mismatch between Distributed Asynchronous Microphones under Existence of Source Movements with Stationary Time Periods Detection., , , и . ICASSP, стр. 785-789. IEEE, (2019)All-neural Online Source Separation, Counting, and Diarization for Meeting Analysis., , , , , и . ICASSP, стр. 91-95. IEEE, (2019)Exploring multi-channel features for denoising-autoencoder-based speech enhancement., , , , , и . ICASSP, стр. 116-120. IEEE, (2015)Feedback connection for deep neural network-based acoustic modeling., , , , и . ICASSP, стр. 5240-5244. IEEE, (2017)