A Neural Network Architecture for Italian Vowel Recognition

A speaker independent vowel classification system will be described.Experiments
are performed on the complete Italian vowel set showing a very high recognition rate on new speakers. The architecture of the vowel classifier is based on an ear model (EM) followed by a set of Multi-Layered Neural Networks (MLNNs). MLNMs are trained to learn how to recognise articulatory features like the horizontal and the vertical place of articulation related to tongue position.

Tipo Pubblicazione: 
Contributo in atti di convegno
Author or Creator: 
Cosi P.
De Mori R.
Vagges K.
VERBA-90, International Conference on Speech Technologies, pp. 221–228, Rome, Italy, 22-24 January, 1990
Resource Identifier: 
ISTC Author: 
Ritratto di Piero Cosi
Real name: