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Feature Extraction Methods for the Intelligent Processing of Musical Signals

The purpose of this study was to find appropriate sound parameters to be used for feeding inputs of decision algorithms, such as a neural network or rough-based ones. The quality of the chosen parameters was tested statistically and with the use of a neural network algorithm. Experimental results and conclusions are shown in this paper. Conclusions on the artificial intelligence approach to the automatic recognition of musical timbre are included.

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