Published March 29, 2022
| Version v0.8
Software
Open
MuseReduce
Creators
- 1. Umeå University
- 2. École Polytechnique Fédérale de Lausanne
Contributors
Project member:
Description
MuseReduce is a tool for encoding hierarchical analyses of scores in the Music Encoding Initiative (MEI) format. Its primary intended application is the encoding of Schenkerian, GTTM, and "reductive" analyses writ large. We use the Verovio engine to render an MEI XML structure as a Scalable Vector Graphics (SVG) object, which is then presented to the user. By selecting and manipulating the SVG elements using the tool, we add hierarchical analysis metadata to the MEI following a variant of a scheme proposed by Rizo and Marsden. It is hoped this tool will facilitate the development of high-quality reductive analysis corpora, enabling research at the interface between "distant-reading" and "close-reading" approaches to music analysis.
Notes
This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program under grant agreement No 760081 – PMSB. We thank Claude Latour for supporting this research through the Latour Chair in Digital Musicology. Additionally, the members of the EPFL Digital and Cognitive Musicology Lab (DCML) have contributed valuable insights through discussions and user testing.
Files
Files
(14.3 MB)
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md5:336e01bfbc5d3a71a2ba9c3a7244a960
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Additional details
Funding
References
- Rizo, D., & Marsden, A. (2019). An MEI-based standard encoding for hierarchical music analyses. International Journal on Digital Libraries, 20 (1), 93–105