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Unified ASR system using LGM-based source separation, noise-robust feature extraction, and word hypothesis selection.

, , , , , , , and . ASRU, page 416-422. IEEE, (2015)

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Speech enhancement combined with dereverberation and acoustic echo reduction for time varying systems., and . SSP, page 357-360. IEEE, (2012)Online mvbf adaptation under diffuse noise environments with mimo based noise pre-filtering., , , and . ISSPA, page 292-297. IEEE, (2012)Disentangling physical parameters for anomalous sound detection under domain shifts., , and . EUSIPCO, page 279-283. IEEE, (2022)Anomaly Detection Based on Feature Reconstruction from Subsampled Audio Signals.. EUSIPCO, page 2524-2528. IEEE, (2018)Non-Negative Novelty Extraction: A New Non-Negativity Constraint for NMF., , , and . IWAENC, page 256-260. IEEE, (2018)Frequency domain acoustic echo reduction based on Kalman smoother with time-varying noise covariance matrix., , and . ICASSP, page 5909-5913. IEEE, (2014)MIMII Dataset: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection., , , , , , and . DCASE, page 209-213. (2019)Description and Discussion on DCASE2020 Challenge Task2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring., , , , , , , , , and 1 other author(s). DCASE, page 81-85. (2020)Deep Autoencoding GMM-Based Unsupervised Anomaly Detection in Acoustic Signals and its Hyper-Parameter Optimization., , , , , and . DCASE, page 175-179. (2020)Description and Discussion on DCASE 2021 Challenge Task 2: Unsupervised Anomalous Detection for Machine Condition Monitoring Under Domain Shifted Conditions., , , , , , , , and . DCASE, page 186-190. (2021)