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Towards end-to-end speech enhancement with a variational U-Net architecture., and . CoRR, (2020)Audio Classification and Localization for Incongruent Event Detection., , and . Detection and Identification of Rare Audiovisual Cues, volume 384 of Studies in Computational Intelligence, Springer, (2012)Multi-Channel Speech Enhancement and Amplitude Modulation Analysis for Noise Robust Automatic Speech Recognition., , , , and . Comput. Speech Lang., (2017)Multi-channel signal enhancement with speech and noise covariance estimates computed by a probabilistic localization model., and . ICASSP, page 156-160. IEEE, (2017)The DIRAC AWEAR audio-visual platform for detection of unexpected and incongruent events., , , , , , , , , and 4 other author(s). ICMI, page 289-292. ACM, (2008)Amplitude modulation spectrogram based features for robust speech recognition in noisy and reverberant environments., , and . ICASSP, page 5492-5495. IEEE, (2011)Probabilistic Spatial Filter Estimation for Multi-Channel Signal Enhancement in Hearing Aids., and . ITG Symposium on Speech Communication, page 1-5. IEEE, (2016)Predictability of STRFs in auditory cortex neurons depends on stimulus class., , , and . INTERSPEECH, page 670. ISCA, (2008)Detection of speech embedded in real acoustic background based on amplitude modulation spectrogram features., , and . INTERSPEECH, page 2582-2585. ISCA, (2008)Probabilistic Spatial Filter Estimation for Signal Enhancement in Multi-Channel Automatic Speech Recognition., , and . INTERSPEECH, page 2562-2566. ISCA, (2016)