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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   
-[Verovio](https://www.verovio.org/),   
-[mei-friend](https://mei-friend.mdw.ac.at/), and   
-[Jupyter](https://jupyter.org/)—in particular via the cloud-based [Jupyter4NFDI](https://www.nfdi.de/angebote/jupyter4nfdi/) platform—the toolbox enables seamless **exploration, annotation, visualization, and statistical analysis** of symbolic music data. Supported formats include **MEI**, **\*\*kern**, and **MusicXML**, leveraging a range of established parsers such as [music21](https://web.mit.edu/music21/) and [Partitura](https://partitura.readthedocs.io/). 
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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   
-[musiconn](https://www.musiconn.de/) 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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