Introduction to the Issue on Data Science: Machine Learning for Audio Signal Processing

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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.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2019-05
Language
English
Article Type
Editorial Material
Citation

IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, v.13, no.2, pp.203 - 205

ISSN
1932-4553
DOI
10.1109/JSTSP.2019.2914321
URI
http://hdl.handle.net/10203/262577
Appears in Collection
GCT-Journal Papers(저널논문)
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