RT Book, Section
T1 Musif: a Python package for symbolic music feature extraction
A1 Llorens, Ana
A1 Llorens Martín, Ana
A1 Simonetta, Federico
A1 Serrano, Martín
A1 Torrente, Álvaro
A1 Torrente Sánchez-Guisande, Álvaro José
A2 Bresin, R.
A2 Falkenberg, K.
AB 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.
YR 2023
FD 2023-11-01
LK https://hdl.handle.net/20.500.14352/114077
UL https://hdl.handle.net/20.500.14352/114077
LA eng
NO Llorens A, Simonetta F, Serrano, M, Torrente, Á. musif: a Python package for symbolic music feature extraction. In Proceedings of the 20th Sound and Music Computing Conference. June 15-17, 2023. Stockholm, Sweden. 2023: 132–9.
NO European Research Council
DS Docta Complutense
RD 8 abr 2025