A Neural Network Approach to Timbre Discrimination of Identical Pitch Signals
Samir I Sayegh, C. Pomalaza, Mona S. Badie, Κ. B. Beer, · Journal of Intelligent Systems · 1997
The task of real time discrimination between greatly similar signals is an important and common one.In this article we show how pitch recognition and timbre discrimination for a string instrument are implemented using artificial neural networks.Pitch recognition, an easier task, is realized with a linear classifier, while timbre discrimination is achieved with a Multiple Layer Perceptron using gradient Back Propagation learning.This illustrates how related but increasingly difficult tasks are handled by networks of increasing complexity.