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Musical instrument identification using SVM & MLP with formal concept analysis

Identifying musical instrument is challenging task because of its multidimensional nature. Our aim is to develop the system which automatically classifies musical instruments. This system describes how intend and extend are related to each other. By using the concept analysis techniques recognization process can be made less dependent on human supervision. System is further evaluated with SVM and MLP classifiers. Analysis result for SVM for correct classification is greater than MLP. This system can be used in future for ontology generation of musical instruments.