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Stable Training of Dnn for Speech Enhancement Based on Perceptually-Motivated Black-Box Cost Function., , , и . ICASSP, стр. 7524-7528. IEEE, (2020)Description and Discussion on DCASE 2021 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring under Domain Shifted Conditions., , , , , , , , и . CoRR, (2021)DNN-based source enhancement self-optimized by reinforcement learning using sound quality measurements., , , , и . ICASSP, стр. 81-85. IEEE, (2017)Invertible DNN-based nonlinear time-frequency transform for speech enhancement., , , , и . CoRR, (2019)Description and Discussion on DCASE 2022 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Applying Domain Generalization Techniques., , , , , , , , , и 1 other автор(ы). DCASE, Tampere University, (2022)Effects of Word-Frequency Based Pre- and Post- Processings for Audio Captioning., , , , и . DCASE, стр. 190-194. (2020)First Order Ambisonics Domain Spatial Augmentation for DNN-based Direction of Arrival Estimation., , , и . DCASE, стр. 154-158. (2019)SpecGrad: Diffusion Probabilistic Model based Neural Vocoder with Adaptive Noise Spectral Shaping., , , , и . INTERSPEECH, стр. 803-807. ISCA, (2022)DF-Conformer: Integrated Architecture of Conv-Tasnet and Conformer Using Linear Complexity Self-Attention for Speech Enhancement., , , , , , и . WASPAA, стр. 161-165. IEEE, (2021)Description and Discussion on DCASE 2023 Challenge Task 2: First-Shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring., , , , , , , , , и . CoRR, (2023)