en:forschung

Dec. 2021:
Presentation CAMAT: Computer Assisted Music Analysis Toolkit by Egor Poliakov and Christon R. Nadar at the DMRN+16: Digital Music Research Network One-day Workshop 2021, Queen Mary University of London, Tuesday 21st December 2021. YouTube-Link pdf

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.

Project leader:
  • Prof. Dr. Martin Pfleiderer
Research assistants:
  • Dr. Egor Polyakov
  • Christon-Ragavan Nadar
Student project assistants:
  • Esther Barta
  • Sebastian Oliver Eck
  • Clarissa Mühlhausen
  • Juan Paez
  • Andres Romero

Contact:analyse@hfm-weimar.de

Franz Liszt University of Music Weimar

Institute for Musicology Weimar | Jena
Hochschulzentrum am Horn
Carl-Alexander-Platz 1
99425 Weimar

To theDatenschutzerklärung of the HfM Weimar.

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