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en:forschung [2024/05/28 07:03]
martin
en:forschung [2025/01/30 09:36] (aktuell)
martin [News]
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 ==== News ==== ==== News ====
 +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).
  
 March 2024: \\ March 2024: \\
-Publication of: Martin Pfleiderer, Egor Polyakov and Christon-Ragavan Nadar: //Analyze! Development and integration of software-based tools for musicology and music theory//, in: //[[ttps://www.routledge.com/Innovation-in-Music-Technology-and-Creativity/Gullo-Hepworth-Sawyer-Paterson-Toulson/p/book/9780367633363|Innovation in Music. Technology and Creativity h]]//, ed. by Jan-Olof Gullö, Russ Hepworth-Sawyer, Justin Paterson and Rob Toulson, London and New York: Routledge 2024, pp. 292–309. +New publication: Martin Pfleiderer, Egor Polyakov and Christon-Ragavan Nadar: //Analyse! Development and integration of software-based tools for musicology and music theory//, in: //[[https://www.routledge.com/Innovation-in-Music-Technology-and-Creativity/Gullo-Hepworth-Sawyer-Paterson-Toulson/p/book/9780367633363|Innovation in Music. Technology and Creativity]]//, ed. by Jan-Olof Gullö, Russ Hepworth-Sawyer, Justin Paterson and Rob Toulson, London and New York: Routledge 2024, pp. 292–309. 
  
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 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, 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.
  
-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. It is 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.+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.
  
 ==== The team ==== ==== The team ====
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