Seite anzeigenÄltere VersionenLinks hierherNach oben Diese Seite ist nicht editierbar. Sie können den Quelltext sehen, jedoch nicht verändern. Kontaktieren Sie den Administrator, wenn Sie glauben, dass hier ein Fehler vorliegt. ====== 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 [[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]]. 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. 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|https://github.com/analyse-hfm-weimar]] ---- ===== Current Team ===== * **Prof. Dr. Martin Pfleiderer** * **Dr. Egor Polyakov** * **Pia Steuck** en/dfg.txt Zuletzt geändert: 2025/12/16 14:47von egorpoly