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The Ethereal
Off the Beaten Track: Using Deep Learning to Interpolate Between Music Genres
April 25, 2018 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Tijn Borghuis, Alessandro Tibo, Simone Conforti, Luca Canciello, Lorenzo Brusci, Paolo Frasconi
arXiv ID
1804.09808
Category
cs.SD: Sound
Cross-listed
cs.LG,
cs.MM,
eess.AS
Citations
4
Venue
arXiv.org
Last Checked
3 months ago
Abstract
We describe a system based on deep learning that generates drum patterns in the electronic dance music domain. Experimental results reveal that generated patterns can be employed to produce musically sound and creative transitions between different genres, and that the process of generation is of interest to practitioners in the field.
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