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arXiv 1905.080762019-05-17cs.SDcs.IRcs.LGeess.ASstat.ML

Dance Hit Song Prediction

University of Antwerp（安特卫普大学）

Dorien herremans, David Martens, Kenneth Sörensen

发表信息：: Journal of New music Research. 43:302 (2014)
DOI：: 10.1080/09298215.2014.881888

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Record companies invest billions of dollars in new talent around the globe each year. Gaining insight into what actually makes a hit song would provide tremendous benefits for the music industry. In this research we tackle this question by focussing on the dance hit song classification problem. A database of dance hit songs from 1985 until 2013 is built, including basic musical features, as well as more advanced features that capture a temporal aspect. A number of different classifiers are used to build and test dance hit prediction models. The resulting best model has a good performance when predicting whether a song is a "top 10" dance hit versus a lower listed position.

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