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.
A Neural Network Architecture for Italian Vowel Recognition
Cosi P;
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.File in questo prodotto:
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