Musif: a Python package for symbolic music feature extraction

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 comp...

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Detalles Bibliográficos
Autores: Llorens, Ana, Llorens Martín, Ana, Simonetta, Federico, Serrano, Martín, Torrente, Álvaro, Torrente Sánchez-Guisande, Álvaro José
Tipo de recurso: capítulo de libro
Fecha de publicación:2023
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/114077
Acceso en línea:https://hdl.handle.net/20.500.14352/114077
Access Level:acceso abierto
Palabra clave:781.2
computational musicology
music information retrieval
Python
Música
Programación de ordenadores (Informática)
6203.06 Música, Musicología
1203.17 Informática
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spelling Musif: a Python package for symbolic music feature extractionLlorens, AnaLlorens Martín, AnaSimonetta, FedericoSerrano, MartínTorrente, ÁlvaroTorrente Sánchez-Guisande, Álvaro José781.2computational musicologymusic information retrievalPythonMúsicaProgramación de ordenadores (Informática)6203.06 Música, Musicología1203.17 InformáticaIn 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.Bresin, R.Falkenberg, K.Universidad Complutense de Madrid20232023-01-0120232023-01-01book parthttp://purl.org/coar/resource_type/c_3248VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/bookPartapplication/pdfhttps://hdl.handle.net/20.500.14352/114077reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/1140772026-06-02T12:44:21Z
dc.title.none.fl_str_mv Musif: a Python package for symbolic music feature extraction
title Musif: a Python package for symbolic music feature extraction
spellingShingle Musif: a Python package for symbolic music feature extraction
Llorens, Ana
781.2
computational musicology
music information retrieval
Python
Música
Programación de ordenadores (Informática)
6203.06 Música, Musicología
1203.17 Informática
title_short Musif: a Python package for symbolic music feature extraction
title_full Musif: a Python package for symbolic music feature extraction
title_fullStr Musif: a Python package for symbolic music feature extraction
title_full_unstemmed Musif: a Python package for symbolic music feature extraction
title_sort Musif: a Python package for symbolic music feature extraction
dc.creator.none.fl_str_mv Llorens, Ana
Llorens Martín, Ana
Simonetta, Federico
Serrano, Martín
Torrente, Álvaro
Torrente Sánchez-Guisande, Álvaro José
author Llorens, Ana
author_facet Llorens, Ana
Llorens Martín, Ana
Simonetta, Federico
Serrano, Martín
Torrente, Álvaro
Torrente Sánchez-Guisande, Álvaro José
author_role author
author2 Llorens Martín, Ana
Simonetta, Federico
Serrano, Martín
Torrente, Álvaro
Torrente Sánchez-Guisande, Álvaro José
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Bresin, R.
Falkenberg, K.
Universidad Complutense de Madrid
dc.subject.none.fl_str_mv 781.2
computational musicology
music information retrieval
Python
Música
Programación de ordenadores (Informática)
6203.06 Música, Musicología
1203.17 Informática
topic 781.2
computational musicology
music information retrieval
Python
Música
Programación de ordenadores (Informática)
6203.06 Música, Musicología
1203.17 Informática
description 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.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-01-01
2023
2023-01-01
dc.type.none.fl_str_mv book part
http://purl.org/coar/resource_type/c_3248
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/bookPart
format bookPart
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/114077
url https://hdl.handle.net/20.500.14352/114077
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869407546532429824
score 15.81155

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