A method to extract articulatory parameters from the speech signal using neural networks
António Alberto Lebre dos Santos Branco, Ana Maria Tomé, António Teixeira, F. Vaz · 2002
We present a method that uses artificial neural networks for acoustic to articulatory mapping. An assembly of Kohonen (1982) neural nets is used, in the first stage a network maps cepstral values, each neuron contains a subnet in a second stage that maps the articulatory space. The method allows both the acoustic to articulatory mapping, ensuring smooth varying vocal tract shapes, and the study of the nonuniqueness problem.