A robust real-time pitch detector based on neural networks
Horacio Martinez-Alfaro, Jose Luis Contreras-Vidal · 1991
A multilayer perceptron trained with the backpropagation procedure is used to detect the fundamental frequency (F/sub 0/), 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 F/sub 0/ as well as the formants. In the preliminary experiments, the detection rate of F/sub 0/ was 100% for different numbers of hidden units. As the number of hidden units was increased, the generalization capabilities of the neural net decreased.>