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--- en:forschung [2025/01/30 09:36] – [News] martin
+++ en:forschung [2026/09/12 12:28] (aktuell) – martin
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 ==== News ====
+September 2026: \\
+First results of the new project are presented at the [[https://www.uni-wuerzburg.de/en/zpd/events/icccm-2026/|Fourth International Conference on Computational and Cognitive Musicology (ICCCM 2026)]] in Würzburg, Germany, 21.9.2026 (poster presentation).
+September 2025: \\
+New research project //A Comprehensive Cloud-Based Toolbox for Sheet Music Analysis// has started.\\
+You can follow the project’s progress, including alpha releases and datasets, on our GitHub project website:
+[[https://github.com/analyse-hfm-weimar|https://github.com/analyse-hfm-weimar]]
 January 2025: \\
 Research project granted: The triennial research project //Development of a Comprehensive Cloud-Based Toolbox for Sheet Music Analysis// has been approved in the area //Library Services and Information Systems (LIS):  e-Research Technologies// by the German Research Foudation and will start in September 2025 (research assistant: Egor Polyakov; applicant: Martin Pfleiderer).
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 ==== The project ====
-Courses on musical analysis are an integral part of both musicology courses and the training of music teachers and musicians at universities and music colleges. The aim of the fellowship project is to design, test, evaluate and teach several flexibly applicable teaching modules on music analysis, making use of various computer-based analysis tools. The teaching modules are dedicated to computer-based annotation and visualization of musical texts and audio files, statistical analysis of music corpora, search for musical patterns (melodies, rhythms etc.). They are intended to complement conventional analysis courses, will be tested and evaluated in various courses at the HfM Weimar, and will be made available free of charge to a wider circle of interested parties via an Internet platform.
+Courses on musical analysis are an integral part of both musicology courses and the training of music teachers and musicians at universities and music colleges. The aim of the fellowship project is to design, test, evaluate and teach several flexibly applicable teaching modules on music analysis, making use of various computer-based analysis tools. The teaching modules are dedicated to computer-based annotation and visualization of musical texts and audio files, statistical analysis of music corpora, and search for musical patterns (melodies, rhythms etc.). They are intended to complement conventional analysis courses. They are tested and evaluated in various courses at the HfM Weimar, and are available free of charge to a wider circle of interested parties via an Internet platform.
 The project //Computergestützte Musikanalyse in der digitalen Hochschullehre// is located at the Institute for Musicology Weimar-Jena at the Franz Liszt University of Music Weimar. In 2021, it has been funded by the Thuringian Ministry for Economy, Science and Digital Change and the //Stifterverband//. The project sees itself as a contribution to Computational Musicology or Digital Musicology within Digital Humanities.