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Proceedings Paper

Using neural networks for acoustophonetic analysis of speech
Author(s): Andrei L. Mikaelian; V. V. Nikolaev; Sergei A. Prokopenko
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Paper Abstract

The results of research into possibilities of making an apparatus for automatic recognition (vowels and syllables) in continuous speech are given. Methods of the preliminary processing of the electric analogue of the speech signal with the aim to decrease its excessiveness and to obtain the invariance with respect to acoustic phonetic categories are studied. A programmed model of a neural network for identification of signal fractions corresponding to acoustophonetic pattern is implemented. The experimental results of research of the computer model of an apparatus of automatic recognition are given.

Paper Details

Date Published: 7 December 1994
PDF: 6 pages
Proc. SPIE 2430, Optical Memory & Neural Networks '94: Optical Neural Networks, (7 December 1994); doi: 10.1117/12.195598
Show Author Affiliations
Andrei L. Mikaelian, Institute of Optical Neural Technologies (Russia)
V. V. Nikolaev, Institute of Optical Neural Technologies (Russia)
Sergei A. Prokopenko, Institute of Optical Neural Technologies (Russia)

Published in SPIE Proceedings Vol. 2430:
Optical Memory & Neural Networks '94: Optical Neural Networks
Andrei L. Mikaelian, Editor(s)

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