2 papers
cs.SD2023
Optimizing Feature Extraction for Symbolic Music
Federico Simonetta, Ana Llorens, Martín Serrano +2
This paper presents a comprehensive investigation of existing feature extraction tools for symbolic music and contrasts their performance to determine the set of features that best…
cs.SD2023
musif: a Python package for symbolic music feature extraction
Ana Llorens, Federico Simonetta, Martín Serrano +1
In this work, we introduce musif, a Python package that facilitates the automatic extraction of features from symbolic music scores. The package includes the implementation of a la…