The aim of this research was to prepare a database for studying musical instrument timbres. Parameters of both frequency and time domains of musical sounds have been extracted. In order to discretize parameter values, a method of attribute quantization is proposed based on the statistical approach. Experiments concerning musical instrument recognition using rough set and neural network approaches were performed. Conclusions concerning applications of artificial intelligence methods to musical instrument recognition were derived.
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