Self-Supervised Contrastive Learning of Music Spectrograms
Self-Supervised Music Analysis
Self-Supervised Contrastive Learning of Music Spectrograms.
Dataset
Songs on the Billboard Year End Hot 100 were collected from the years 1960-2020. This list tracks the top songs of the US market for a given calendar year based on aggregating metrics including streaming plays, physical and digital purchases, radio plays, etc. In total the dataset includes 5737 songs, excluding some songs which could not be found and some which are duplicates across multiple years. It’s worth noting that the types of songs that are able to make it onto this sort of list represent a very narrow subset of the overall variety of the US music market, let alone the global music market. So while we can still learn some interesting things from this dataset, we