Pitch-Dependent Identification of Musical Instrument Sounds
Applied Intelligence
Estimation of musical sound separation algorithm effectiveness employing neural networks
Journal of Intelligent Information Systems - Special issue: Intelligent multimedia applications
Quality of musical instrument sound identification for various levels of accompanying sounds
MCD'07 Proceedings of the 3rd ECML/PKDD international conference on Mining complex data
Discriminant feature analysis for music timbre recognition and automatic indexing
MCD'07 Proceedings of the 3rd ECML/PKDD international conference on Mining complex data
Identification of dominating instrument in mixes of sounds of the same pitch
ISMIS'08 Proceedings of the 17th international conference on Foundations of intelligent systems
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In our research we deal with polyphonic audio data, containing layered sounds of representing various timbres. Real audio recordings, musical instrument sounds of definite pitch, and artificial sounds of definite and indefinite pitch were applied in this research. Our experiments included preparing training and testing data, as well as classification of these data. In this paper we describe how results obtained from classification allowed us to discover abnormalities in the data, then adjust the data accordingly, and improve the classification results.