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
Source:
VERBA-90, International Conference on Speech Technologies, pp. 221–228, Rome, Italy, 22-24 January, 1990
Date:
1990
Resource Identifier:
http://www.cnr.it/prodotto/i/241900
Language:
Eng