A robust real-time pitch detector based on neural networks

A multilayer perceptron trained with the backpropagation procedure is used to detect the fundamental frequency (F₀), or pitch, of a speech signal. The model does not require preprocessing of the signal and has good discriminatory capabilities. Preliminary results suggest that a multilayer perceptron can be trained to extract F₀ as well as the formants. In the preliminary experiments, the detection rate of F₀ was 100% for different numbers of hidden units. As the number of hidden units was increased, the generalization capabilities of the neural net decreased