Hit song science: a comprehensive survey and research directions
Danilo B. Seufitelli, Gabriel P. Oliveira, Mariana O. Silva, Clarisse Scofield, Mirella M. Moro
Abstract
Hit Song Science (HSS) is an emerging topic that aims to unveil the success dynamics within the music industry. Considering the growth of the area, we provide a comprehensive study with a complete review of the main topics of this interdisciplinary field from a computer science perspective. We also define a generic workflow for HSS, introduce taxonomies for success measures and musical features, and categorize the main current learning algorithms. Overall, this survey may serve as a starting point for future research on HSS, as it emerges as a promising field that benefits both the academy and the music industry.
Topics & Concepts
CategorizationWorkflowPerspective (graphical)Field (mathematics)Computer scienceData sciencePoint (geometry)MusicalArtificial intelligenceVisual artsMathematicsGeometryArtDatabasePure mathematicsMusic and Audio ProcessingMusic Technology and Sound StudiesMusic History and Culture