Unterschiede

Hier werden die Unterschiede zwischen zwei Versionen angezeigt.

--- en:dfg [2025/12/16 14:31] – egorpoly
+++ en:dfg [2026/08/07 14:01] (aktuell) – egorpoly
@@ Zeile 1: / Zeile 1: @@
-## **DFG Project: Development of a Comprehensive Cloud-Based Toolbox for Sheet Music Analysis**
+This is a temporary hub for DFG-project related wiki ressources.
-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*.
+https://analyse.hfm-weimar.de/doku.php?id=en:git
-The goal of this project is to develop an **open-source, Python-based toolkit for interactive sheet music analysis**. Built on
+https://analyse.hfm-weimar.de/doku.php?id=en:mei
-[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/).
-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://analyse.hfm-weimar.de/doku.php?id=en:mei-friend-compendium
-[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.
-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**.
+https://analyse.hfm-weimar.de/doku.php?id=en:miniconda