Report of the ISMIS 2011 contest: music information retrieval

Authors:
Bozena Kostek;Adam Kupryjanow;Pawel Zwan;Wenxin Jiang;Zbigniew W. Raś;Marcin Wojnarski;Joanna Swietlicka
Affiliations:
Multimedia Systems Department, Gdansk University of Technology, Gdansk, PL;Multimedia Systems Department, Gdansk University of Technology, Gdansk, PL;Multimedia Systems Department, Gdansk University of Technology, Gdansk, PL;Fred Hutchinson Cancer Research Center, Seattle, WA;Univ. of North Carolina, Dept. of Computer Science, Charlotte, NC and Warsaw Univ. of Technology, Institute of Comp. Science, Warsaw, Poland;TunedIT Solutions, Warszawa, Poland;TunedIT Solutions, Warszawa, Poland
Venue:
ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems
Year:
2011

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Abstract

This report presents an overview of the data mining contest organized in conjunction with the 19th International Symposium on Methodologies for Intelligent Systems (ISMIS 2011), in days between Jan 10 and Mar 21, 2011, on TunedIT competition platform. The contest consisted of two independent tasks, both related to music information retrieval: recognition of music genres and recognition of instruments, for a given music sample represented by a number of pre-extracted features. In this report, we describe aim of the contest, tasks formulation, procedures of data generation and parametrization, as well as final results of the competition.