Identification of dominating instrument in mixes of sounds of the same pitch

Authors:
Alicja Wieczorkowska;Elżbieta Kolczyńska
Affiliations:
Polish-Japanese Institute of Information Technology, Warsaw, Poland;Agricultural University in Lublin, Lublin, Poland
Venue:
ISMIS'08 Proceedings of the 17th international conference on Foundations of intelligent systems
Year:
2008

Citing 3
Cited 2

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Applied Intelligence
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Learning from Soft-Computing Methods on Abnormalities in Audio Data

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Identification of a dominating instrument in polytimbral same-pitch mixes using SVM classifiers with non-linear kernel

Journal of Intelligent Information Systems

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Abstract

In this paper we deal with the problem of identification of the dominating instrument in the recording containing simultaneous sounds of the same pitch. Sustained harmonic sounds from one octave of eight instruments were considered. The training data set contains sounds of singular instruments, as well as the same sounds with added artificial harmonic and noise sounds of lower amplitude. The test data set contains mixes of musical instrument sounds. SVM classifier from WEKA was used for training and testing experiments. Results of these experiments are presented and discussed in the paper.