Glottal features extraction using neural networks

Abstract

Disclosed is a method for predicting acoustic features including glottal parameters of an acoustic glottal source model that includes extracting one or more glottal parameters from one or more input signals containing information about glottal source signal, using a deep neural network (NN), wherein the NN is trained using one or more input signals, and previously estimated glottal parameters.