March 2024:
New publication: Martin Pfleiderer, Egor Polyakov and Christon-Ragavan Nadar: Analyse! Development and integration of software-based tools for musicology and music theory, in: 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.

September 2023:
JADH2023: 12th annual conference of the Japanese Association for Digital Humanities (JADH),
Possibilities for Data-Driven Humanities”, National Institute of Japanese Literature (online), 20.9. - 22.9. 2023,
Presentation of Sebastian Oliver Eck: Interactive Music Analysis Tool (I-MaT)

February 2023:
New sub-website AI-assisted audio analysis of music and soundscapes, research seminar by Jakob Abeßer and Martin Pfleiderer, WS 2022/23.

September 2022:
22. Jahreskongress der Gesellschaft für Musiktheorie (GMTH) Mozarteum Salzburg, 29.9. - 2.10.2022: Presentation of Egor Poliakov: To code or not to code?, 29.9., 15:30 Uhr, Raum 2013. Workshop Evaluation of computer-assisted music score analysis methods within the Fellowship project „Computer-assisted music analysis“ at music university Weimar, lead by Egor Poliakov, 1.10. 16:30 Raum 2046.

December 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. 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.

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


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.

  • en/forschung.txt
  • Zuletzt geändert: 2024/05/30 10:44
  • von martin