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Partitura: A Python Package for Symbolic Music Processing
- Author(s):
- Carlos Cancino-Chacón, Francesco Foscarin, Maarten Grachten, Emmanouil Karystinaios, Silvan David Peter, Gerhard Widmer
- Editor(s):
- Ailynn Ang, Jennifer Bain, David M. Weigl (see profile)
- Date:
- 2023
- Group(s):
- Music Encoding Initiative
- Subject(s):
- Digital humanities, Music
- Item Type:
- Conference paper
- Conf. Title:
- Music Encoding Conference 2022
- Conf. Org.:
- Dalhousie University
- Conf. Loc.:
- Halifax, Nova Scotia, Canada
- Conf. Date:
- May 19-22, 2022
- Tag(s):
- Music encoding, performance, python package, symbolic score
- Permanent URL:
- https://doi.org/10.17613/131v-k502
- Abstract:
- Partitura is a lightweight Python package for handling symbolic musical information. It provides easy access to features commonly used in music information retrieval tasks, like note arrays (lists of timed pitched events) and 2D piano roll matrices, as well as other score elements such as time and key signatures, performance directives, and repeat structures. Partitura can load musical scores (in MEI, MusicXML, Humdrum **kern, and MIDI formats), MIDI performances, and score- to-performance alignments. The package includes some tools for music analysis, such as automatic pitch spelling, key signature identification, and voice separation. Partitura is an open-source project and is available at https://github.com/CPJKU/partitura/.
- Metadata:
- xml
- Status:
- Published
- Last Updated:
- 3 months ago
- License:
- Attribution-NonCommercial-NoDerivatives
- Share this:
Open access, open source, open to all
mec22_16-26_cancinochacon.pdf