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Unsupervised Detection of Anomalous Sound Based on Deep Learning and the Neyman-Pearson Lemma., , , , and . IEEE/ACM Trans. Audio, Speech & Language Processing, 27 (1): 212-224 (2019)AdaFlow: Domain-adaptive Density Estimator with Application to Anomaly Detection and Unpaired Cross-domain Translation., , and . ICASSP, page 3647-3651. IEEE, (2019)DNN-based source enhancement self-optimized by reinforcement learning using sound quality measurements., , , , and . ICASSP, page 81-85. IEEE, (2017)Invertible DNN-based nonlinear time-frequency transform for speech enhancement., , , , and . CoRR, (2019)Intra-note segmentation via sticky HMM with DP emission., and . ICASSP, page 2144-2148. IEEE, (2014)Unsupervised Detection of Anomalous Sound based on Deep Learning and the Neyman-Pearson Lemma., , , , and . CoRR, (2018)End-to-End Sound Source Enhancement Using Deep Neural Network in the Modified Discrete Cosine Transform Domain., , , , and . ICASSP, page 706-710. IEEE, (2018)Complementary Set Variational Autoencoder for Supervised Anomaly Detection., , and . ICASSP, page 2366-2370. IEEE, (2018)On relationships between amplitude and phase of short-time Fourier transform., , , and . ICASSP, page 676-680. IEEE, (2017)Distant Noise Reduction Based on Multi-delay Noise Model Using Distributed Microphone Array., , , , and . EUSIPCO, page 1-5. IEEE, (2018)