Measuring rhythm similarity is relevant for the analysis
and generation of music. Existing similarity metrics tend
to consider our perception of rhythms as being in time
without discriminating the importance of some regions
over others. In a previously reported experiment we observed
that measures of similarity may differ given the
presence or absence of a pulse inducing sound and the importance
of those measures is not constant along the pattern.
These results are now reinterpreted by refining ...
Measuring rhythm similarity is relevant for the analysis
and generation of music. Existing similarity metrics tend
to consider our perception of rhythms as being in time
without discriminating the importance of some regions
over others. In a previously reported experiment we observed
that measures of similarity may differ given the
presence or absence of a pulse inducing sound and the importance
of those measures is not constant along the pattern.
These results are now reinterpreted by refining the
previously proposed metrics. We consider that the perceptual
contribution of each beat to the measured similarity
is non-homogeneous but might indeed depend on the temporal
positions of the beat along the bar. We show that
with these improvements, the correlation between the previously
evaluated experimental similarity and predictions
based on our metrics increases substantially. We conclude
by discussing a possible new methodology for evaluating
rhythmic similarity between audio loops.
+