Using neural networks for acoustophonetic analysis of speech

Andrei L. Mikaelian; V. V. Nikolaev; Sergei A. Prokopenko

doi:10.1117/12.195598

7 December 1994 Using neural networks for acoustophonetic analysis of speech

Andrei L. Mikaelian, V. V. Nikolaev, Sergei A. Prokopenko

Proceedings Volume 2430, Optical Memory & Neural Networks '94: Optical Neural Networks; (1994) https://doi.org/10.1117/12.195598
Event: Optical Memory and Neural Networks: International Conference, 1994, Moscow, Russian Federation

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.

Citation Download Citation

Andrei L. Mikaelian, V. V. Nikolaev, and Sergei A. Prokopenko "Using neural networks for acoustophonetic analysis of speech", Proc. SPIE 2430, Optical Memory & Neural Networks '94: Optical Neural Networks, (7 December 1994); https://doi.org/10.1117/12.195598

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