A systematic survey of deep-learning acoustic signal processing, organized as detection, filtering, and transformation tasks, with network modules, loss construction, and five application areas.
Rectifier non- linearities improve neural network acoustic models,
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Fundamentals of Data-Driven Approaches to Acoustic Signal Detection, Filtering, and Transformation
A systematic survey of deep-learning acoustic signal processing, organized as detection, filtering, and transformation tasks, with network modules, loss construction, and five application areas.