vega-mir bundles nine metrics for symbolic music and applies network and spectral analysis to find a 0.61 correlation between composer graph centrality and KL divergence plus structured rubato in Bach performers.
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vega-mir: An information-theoretic Python toolkit for symbolic music, with applications to harmonic graphs and rubato spectra
vega-mir bundles nine metrics for symbolic music and applies network and spectral analysis to find a 0.61 correlation between composer graph centrality and KL divergence plus structured rubato in Bach performers.