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Editorial

Machine Learning Applied to Music/Audio Signal Processing

1
Center for Music Technology, Georgia Institute of Technology, Atlanta, GA 30332, USA
2
Faculty of Informatics, Institute of Information Systems Engineering, TU Wien Informatics, Favoritenstraße 9-11, 1040 Vienna, Austria
*
Author to whom correspondence should be addressed.
Electronics 2021, 10(24), 3077; https://doi.org/10.3390/electronics10243077
Received: 25 November 2021 / Accepted: 26 November 2021 / Published: 10 December 2021
(This article belongs to the Special Issue Machine Learning Applied to Music/Audio Signal Processing)
Note: In lieu of an abstract, this is an excerpt from the first page.

Over the past two decades, the utilization of machine learning in audio and music signal processing has dramatically increased [...] View Full-Text
MDPI and ACS Style

Lerch, A.; Knees, P. Machine Learning Applied to Music/Audio Signal Processing. Electronics 2021, 10, 3077. https://doi.org/10.3390/electronics10243077

AMA Style

Lerch A, Knees P. Machine Learning Applied to Music/Audio Signal Processing. Electronics. 2021; 10(24):3077. https://doi.org/10.3390/electronics10243077

Chicago/Turabian Style

Lerch, Alexander, and Peter Knees. 2021. "Machine Learning Applied to Music/Audio Signal Processing" Electronics 10, no. 24: 3077. https://doi.org/10.3390/electronics10243077

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