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The Ethereal
Hit Song Prediction Based on Early Adopter Data and Audio Features
October 16, 2020 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Dorien Herremans, Tom Bergmans
arXiv ID
2010.09489
Category
cs.SD: Sound
Cross-listed
cs.LG,
cs.MM
Citations
6
Venue
arXiv.org
Last Checked
3 months ago
Abstract
Billions of USD are invested in new artists and songs by the music industry every year. This research provides a new strategy for assessing the hit potential of songs, which can help record companies support their investment decisions. A number of models were developed that use both audio data, and a novel feature based on social media listening behaviour. The results show that models based on early adopter behaviour perform well when predicting top 20 dance hits.
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