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NAAGN: Noise-Aware Attention-Gated Network for Speech Enhancement.

, , , , and . INTERSPEECH, page 2457-2461. ISCA, (2020)

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Identifying the Probability Distribution of Fatigue Life Using the Maximum Entropy Principle., , , , and . Entropy, 18 (4): 111 (2016)Sparse HMM-based speech enhancement method for stationary and non-stationary noise environments., , and . ICASSP, page 5073-5077. IEEE, (2015)Speech enhancement with binaural cues derived from a priori codebook., , and . ISCSLP, page 1-5. IEEE, (2016)Classification Research on Syndromes of TCM Based on SVM., , , , , , and . BMEI, page 1-4. IEEE, (2009)Multiple Speech Source Separation with Non-Sparse Components Recovery by Using Dual Similarity Determination., , , and . IEICE Trans. Inf. Syst., 101-D (4): 925-932 (2018)Sparse Hidden Markov Models for Speech Enhancement in Non-Stationary Noise Environments., , and . IEEE ACM Trans. Audio Speech Lang. Process., 23 (11): 1973-1987 (2015)Designing and assessing modeling and visualization technologies (MVT) enhanced learning., , , , , , , , , and . ICLS (3), page 392-399. International Society of the Learning Sciences, (2008)A High-Performance Infrared Imaging System with Adaptive Contrast Enhancement., , , , and . CECNet, volume 345 of Frontiers in Artificial Intelligence and Applications, page 581-590. IOS Press, (2021)Probabilistic Network-Aware Task Placement for MapReduce Scheduling., , , and . CLUSTER, page 241-250. IEEE Computer Society, (2016)Global land mapping of satellite-observed CO2 total columns using spatio-temporal geostatistics., , , , , , , , , and 12 other author(s). Int. J. Digit. Earth, 10 (4): 426-456 (2017)