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Proceedings Paper

Timbre discrimination of signals with identical pitch using neural networks
Author(s): Samir I. Sayegh; Carlos A. Pomalaza-Raez; E. Tepper; B. A. Beer
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Paper Abstract

Pitch recognition and timbre discrimination for a string instrument is investigated using artificial neural networks. Pitch recognition, the easier task, is realized with a linear classifier while timbre discrimination is achieved with a multiple layer perceptron using gradient back propagation learning.

Paper Details

Date Published: 1 October 1991
PDF: 11 pages
Proc. SPIE 1569, Stochastic and Neural Methods in Signal Processing, Image Processing, and Computer Vision, (1 October 1991); doi: 10.1117/12.48370
Show Author Affiliations
Samir I. Sayegh, Purdue Univ. (United States)
Carlos A. Pomalaza-Raez, Purdue Univ. (United States)
E. Tepper, Purdue Univ. (United States)
B. A. Beer, Purdue Univ. (United States)


Published in SPIE Proceedings Vol. 1569:
Stochastic and Neural Methods in Signal Processing, Image Processing, and Computer Vision
Su-Shing Chen, Editor(s)

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