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 Import into BibTeX
Subject: Signal Analysis and Noise Reduction
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=7690

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