Recognition of instrument timbres in real polytimbral audio recordings

Authors:
Elżbieta Kubera;Alicja Wieczorkowska;Zbigniew Raś;Magdalena Skrzypiec
Affiliations:
University of Life Sciences in Lublin, Lublin, Poland and Polish-Japanese Institute of Information Technology, Warsaw, Poland;Polish-Japanese Institute of Information Technology, Warsaw, Poland;Polish-Japanese Institute of Information Technology, Warsaw, Poland and University of North Carolina, Dept. of Computer Science, Charlotte, NC;Maria Curie-Skłodowska University in Lublin, Lublin, Poland
Venue:
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part II
Year:
2010

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Abstract

Automatic recognition of multiple musical instruments in polyphonic and polytimbral music is a difficult task, but often attempted to perform by MIR researchers recently. In papers published so far, the proposed systems were validated mainly on audio data obtained through mixing of isolated sounds of musical instruments. This paper tests recognition of instruments in real recordings, using a recognition system which has multilabel and hierarchical structure. Random forest classifiers were applied to build the system. Evaluation of our model was performed on audio recordings of classical music. The obtained results are shown and discussed in the paper.