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| ====== DFG Project: Development of a Comprehensive Cloud-Based Toolbox for Sheet Music Analysis ====== | |
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| Starting **September 2025**, the **CAMAT** toolbox will be redeveloped and substantially extended within the DFG-funded research project //Development of a Comprehensive Cloud-Based Toolbox for Sheet Music Analysis//. | |
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| The goal of this project is to develop an **open-source, Python-based toolkit for interactive sheet music analysis**. Built on | |
| [[https://www.verovio.org/|Verovio]], | |
| [[https://mei-friend.mdw.ac.at/|mei-friend]], and | |
| [[https://jupyter.org/|Jupyter]]—in particular via the cloud-based [[https://nfdi-jupyter.de/|Jupyter4NFDI]] platform—the toolbox enables seamless **exploration, annotation, visualization, and statistical analysis** of symbolic music data. Supported formats include **MEI**, **kern**, and **MusicXML**, leveraging established parsers such as [[https://web.mit.edu/music21/|music21]] and [[https://github.com/CPJKU/partitura|Partitura]]. | |
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| The toolbox supports **interactive score rendering**, **customizable corpus creation** from validated and OMR-based sources, as well as advanced **statistical exploration and pattern-search methods** for melodic, harmonic, rhythmic, and textural analysis. Reproducible Jupyter workflows are combined with openly available datasets, in particular data derived from the | |
| [[https://www.musiconn.de/|musiconn]] project, including the //Denkmäler der deutschen Tonkunst// (Series I & II), as well as selected works from the early 20th century. | |
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| By integrating and producing new, openly accessible corpora in **MEI format**, the project aims to **lower barriers to computational music analysis** and to foster the broader adoption of digital methods in **musicology, music theory, and music pedagogy**. | |
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