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Table of Contents
Music Informatics
Current Activities
CI Methods for Music Information Retrieval
Development of AMUSE (Advanced MUSic Explorer)
- Java open source framework for different MIR tasks
- Multi-tool extendable environment with shared interfaces and data interchange formats
- Algorithm evaluation and optimization methods
Music Test Database
For the evaluation of music classification tasks we use a database of 120 commercial music albums purchased for our research group. The CDs are distributed among 6 AllMusicGuide genres:
Classic | Electronica | Jazz | Pop/Rock | R&B | Rap | |
---|---|---|---|---|---|---|
CD number | 15 | 15 | 15 | 45 | 15 | 15 |
- Test set OS120 (optimization set for experiments, with focus on evolutionary multi-objective feature selection)
- Test set TS120 (song-independent test set from the same albums as OS120 for the evaluation of optimized models)
- Test set TAS120 (artist-independent test set with the same genre distribution)
The following audio features are used for classification (for definitions and the difference between low-level and high-level features see https://eldorado.tu-dortmund.de/handle/2003/30402)
Instrument Sample Database
Currently, the following instrument samples are used for the experiments on instrument recognition:
Members
Teaching
Completed Project Groups
- Mobile music worlds – explorative games for navigation through digital music collections. Summer term 2011 - winter term 2011/2012.
Advisors: Vatolkin, Preuss
Poster in German (Nov 2011, presented at Alumni day)
Poster in English (Jun 2012)
Completed Diploma Theses
- Michael Deppner: Aktuelle Ansätze für Musikempfehlungssysteme. February 2011.
Advisors: Jannach, Vatolkin. - Verena Mattern: Ableitung Partitur-basierter Merkmale aus Audiosignaldaten. October 2010.
Advisors: Rudolph, Vatolkin. - Thorsten Deinert: Tempoerkennung aus Audiosignalen langsamer Musikstücke. October 2010.
Advisors: Rudolph, Vatolkin. - Tobias Hein: Erkennung musikalischer Sequenzen mit selbstorganisierenden Karten. April 2010.
Advisors: Rudolph, Kramer. - Bernd Schmidt: Vorhersage emotionaler Auswirkungen von Musik anhand signalbasierter Merkmale. September 2008.
Advisors: Rudolph, Vatolkin. - Roman Klinger: Automatische Komposition von Musik mit Methoden der Computational Intelligence. June 2006.
Advisors: Rudolph, Hildebrand.
Completed Bachelor Theses
- Christian Büscher: Abbildung von Musiksignaldaten auf n-Gramme moderater Größe. September 2011.
Advisors: Rudolph, Vatolkin. - Fabian Bock: Automatische Harmonisierung populärer Melodien. September 2013.
Advisors: Rudolph, Vatolkin. - Boris Arnaud Fosso Ngounou: Auswahl und Mischung von Musikstücken zur Erzeugung von Medleys.
Advisors: Rudolph, Vatolkin.
Completed Seminar
- Kreative Algorithmen (WS 2009/10)
- Aktuelle Forschungsgebiete der Musikdatenanalyse (WS 2008/09)
- Computational Intelligence und Musikinformatik (SS 2008)
- Musikinformatik (SS 2007)
Supplementary Material
GECCO 2011
- Figures and tables: gecco2011supplementary.zip