Research project on automatic data retrieval of global music genres

To boost the development of an improved automatic classification system based on music data, the Global Music Database project ran from February 2011 till November 2012. At the chair of Transcultural Studies of the University of Music FRANZ LISZT Weimar, musicologists worked together with audio-engineers from Germany and Norway in pursuit of a common approach to understanding and analysing the most different musical styles, from traditional to pop. To form this team of musicologists, 20 renowned music experts from all around the world were chosen to identify and annotate the most distinctive music samples and characteristics of their music cultures.

Keywords: Music Information Retrieval, Music Database, rhythm analysis, music analysis.

Funding: European Regional Development Fund (ERDF)

Funding period: March 2011-November 2012

Partners: Bach Technology & IDMT – Fraunhofer Institute Ilmenau

Project leaders: Dagfinn Bach and Tiago de Oliveira Pinto


  • GRAEFF, Nina; KÜPPERS, Philip; PFEIFER, Felix; PINTO, Tiago de Oliveira. 2014. “Automatic Retrieval of Rhythmic Patterns for the Global Music Database, a Joint-Project Between Musicologists and Audio Engineers”, In: Musikwirtschaft 2.0. Perspektiven für die Musik, ed. by Steffen Höhne. Leipzig: Leipziger Universitätsverlag. 235–246.