The “groove” of a song correlates with enjoyment and bodily
movement. Recent work has shown that humans often agree whether a song
does or does not have groove and how much groove a song has. It is
therefore useful to develop algorithms that characterize the quality
of groove across songs. We evaluate three unsupervised tempo-invariant
models for measuring pairwise musical groove similarity: A temporal
model, a timbre-temporal model, and a pitch-timbre-temporal model.