Articles by Martin Serrano Juste
Proceedings of the Sound and Music Computing Conference, 2023
In this work, we introduce musif, a Python package that facilitates the automatic extraction of f... more 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 large number of features, which have been developed by a team of experts in musicology, music theory, statistics, and computer science. Additionally, the package allows for the easy creation of custom features using commonly available Python libraries. musif is primarily geared towards processing high-quality musicological data encoded in MusicXML format, but also supports other formats commonly used in music information retrieval tasks, including MIDI, MEI, Kern, and others. We provide comprehensive documentation and tutorials to aid in the extension of the framework and to facilitate the introduction of new and inexperienced users to its usage.
Papers by Martin Serrano Juste
IOP conference series, Jan 23, 2019
arXiv (Cornell University), Jul 3, 2023
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Articles by Martin Serrano Juste
Papers by Martin Serrano Juste