Open AccessExplaining Deep Learning Models for Speech Enhancement
Author(s) -
Sunit Sivasankaran,
Emmanuel Vincent,
Dominique Fohr
Publication year - 2021
Publication title -
interspeech 2022
Language(s) - English
Resource type - Conference proceedings
DOI - 10.21437/interspeech.2021-1764
Subject(s) - computer science , speech recognition , speech enhancement , robustness (evolution) , artificial neural network , noise (video) , artificial intelligence , deep neural networks , deep learning , generalization , relevance (law) , noise measurement , context (archaeology) , noise reduction , mathematics , mathematical analysis , paleontology , biochemistry , chemistry , biology , law , political science , image (mathematics) , gene
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