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Speech Enhancement with Wide Residual Networks in Reverberant Environments., , , , , and . CoRR, (2019)Deep Speech Enhancement for Reverberated and Noisy Signals using Wide Residual Networks., , , and . CoRR, (2019)ALBAYZIN 2016 spoken term detection evaluation: an international open competitive evaluation in Spanish., , , , , , , , , and . EURASIP J. Audio Speech Music. Process., (2017)Speech Enhancement with Wide Residual Networks in Reverberant Environments., , , , , and . INTERSPEECH, page 1811-1815. ISCA, (2019)Progressive loss functions for speech enhancement with deep neural networks., , , , , and . EURASIP J. Audio Speech Music. Process., 2021 (1): 1 (2021)Progressive Speech Enhancement with Residual Connections., , , , , and . INTERSPEECH, page 3193-3197. ISCA, (2019)Articulatory Feature Extraction from Voice and Their Impact on Hybrid Acoustic Models., , and . IberSPEECH, volume 8854 of Lecture Notes in Computer Science, page 138-147. Springer, (2014)Tied Hidden Factors in Neural Networks for End-to-End Speaker Recognition., , , and . CoRR, (2018)Tied Hidden Factors in Neural Networks for End-to-End Speaker Recognition., , , and . INTERSPEECH, page 2819-2823. ISCA, (2017)Wide Residual Networks 1D for Automatic Text Punctuation., , , and . IberSPEECH, page 296-300. ISCA, (2018)