Please use this identifier to cite or link to this item: https://ea.donntu.edu.ua/jspui/handle/123456789/15912
Title: МНОГОУРОВНЕВАЯ НЕЙРОСЕТЕВАЯ СТРУКТУРА РАСПОЗНАВАНИЯ РЕЧЕВЫХ СЛОВ ПО НИЗКОЧАСТОТНЫМ ГАРМОНИКАМ
Other Titles: Neural structure with many layers to recognize of speech words by low-frequency harmonics
Authors: Федяев, О.И.
Гладунов, С.А.
Fedyaev, O.I.
Gladunov, S. A
Keywords: recognition process modeling
Многоуровневая нейросетевая структура
Multilevel neyrosetevaya structure
nizkochastotnaya accordion
низкочастотная гармоника
речевые слова
Issue Date: 2002
Publisher: ДонНТУ
Citation: Наукові праці Донецького національного технічного університету, серія «Інформатика, кібернетика та обчислювальна техніка»,випуск 39, Донецк, ДонНТУ, 2002
Description: In this work it was proposed a method of an isolated words recognition based on a decomposition of spectral pattern. It was designed a two-layer scheme of recognition based on an integral estimation of belonging harmonics of words and it's realization in a neural network basis. There are results described of a recognition process modeling.
URI: http://ea.donntu.edu.ua/handle/123456789/15912
Appears in Collections:Випуск 39

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