Dance Hit Song Science

TitleDance Hit Song Science
Publication TypeConference Proceedings
Year of Conference2013
AuthorsHerremans D., Martens D, Sörensen K.
Conference NameInternational Workshop on Music and Machine Learning
Conference LocationPrague

With annual investments of several billions of dollars worldwide, record companies can benefit tremendously by gaining insight into what actually makes a hit song. This question is tackled in this research by focussing on the dance hit song problem prediction 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. Different classifiers are used to build and test dance hit prediction models. The resulting model has a good performance when predicting whether a song is a ‘‘top 10'' dance hit versus a lower listed position.