Music informatics

Members

Igor Vatolkin
Günter Rudolph

Links

Special Interest Group on Music Analysis

MUSIC INFORMATICS

Current Activities

CI Methods for Music Information Retrieval

Optimization of music classification chain
Intelligent feature selection methods
Learning of personal music categories
Fuzzy methods using high-level feature analysis

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

Album list
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:

Instruments and styles

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.