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A Neural Network Architecture for Italian Vowel Recognition

Contributo in Atti di convegno
Data di Pubblicazione:
1990
Abstract:
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.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Neural Network; Italian; Vowel Recognition
Elenco autori:
Cosi, Piero
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/16773
Titolo del libro:
Proceedings VERBA-90, International Conference on Speech Technologies
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