Dysphonic Voice Classification
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1. The use of Wavelet packet transform and artificial neural networks in analysis and classification of dysphonic voices
This paper presents a dysphonic voice classification system using the wavelet packet transform and the best basis algorithm (BBA) as dimensionality reductor and 06 artificial neural networks (ANN) acting as specialist systems. Each ANN was a 03-layer multilayer perceptron with 64 input nodes, 01 output node and in the intermediary layer the number of neurons
Publicado em: 2011