Spotify has the benefit of letting humans create relationships between songs and weigh in on genre via listening and creating playlists. Those products also make use of Spotify’s vast listener data, like listening history and playlist curation, for you and users similar to you. It’s likely that Spotify uses these features to power products like Spotify Radio and custom playlists like Discover Weekly and Daily Mixes. There are 12 audio features for each track, including confidence measures like acousticness, liveness, speechiness and instrumentalness, perceptual measures like energy, loudness, danceability and valence (positiveness), and descriptors like duration, tempo, key, and mode. The Spotify Web API provides artist, album, and track data, as well as audio features and analysis, all easily accessible via the R package spotifyr.
Is it possible to classify songs into broad genres? And what can quantitative audio features tell us about the qualities of each genre? Exploring Spotify's audio features “folk rock,” but rather the listener knows it when they hear it. Musical genre is far from black and white - there are no hard and fast rules for classifying a given track or artist as “hard rock” vs.
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