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.
Author:
Kostek, Bozena
Affiliation:
Technical University of Gdansk, Gdansk, Poland
AES Convention:
99 (October 1995)
Paper Number:
4076
Publication Date:
October 1, 1995
Subject:
Signal Analysis and Noise Reduction
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