Abstract
The papers in this special section focus on audio signal processing which is currently undergoing a paradigm change, where data-driven machine learning is replacing hand-crafted feature design. These papers aim to promote progress, systematization, understanding, and convergence of applying machine learning in the area of audio signal processing. Specifically, this issue is focused on work that demonstrates novel applications of machine learning techniques in the area of sound, speech and music signal processing, as well as methodological considerations of merging machine learning with audio signal processing.
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