Improving Tempo-Sensitive and Tempo-Robust Descriptors for Rhythmic Similarity.
Sprache des Vortragstitels:
8th Sound and Music Computing Conference (SMC 2011)
Sprache des Tagungstitel:
For the description of rhythmic content of music signals
usually features are preferred that are invariant in presence
of tempo changes. In this paper it is shown that the importance
of tempo depends on the musical context. For popular
music, a tempo-sensitive feature is improved on multiple
datasets using analysis of variance, and it is shown
that also a tempo-robust description profits from the integration
into the resulting processing framework. Important
insights are given into optimal parameters for rhythm description,
and limitations of current approaches are indicated.