DFG Project: Development of a Comprehensive Cloud-Based Toolbox for Sheet Music Analysis
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.
The goal of this project is to develop an open-source, Python-based toolkit for interactive sheet music analysis. Built on Verovio, mei-friend, and Jupyter—in particular via the cloud-based 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 music21 and Partitura.
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 project, including the Denkmäler der deutschen Tonkunst (Series I & II), as well as selected works from the early 20th century.
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.
Development & Releases
You can follow the project’s progress, including alpha releases and datasets, on our GitHub organization: https://github.com/analyse-hfm-weimar
Current Team
- Prof. Dr. Martin Pfleiderer
- Dr. Egor Polyakov
- Pia Steuck