Methods and algorithms for automatic speech recognition: concise review
News of the Kabardin-Balkar scientific center of RAS, no. 6 (2016), pp. 18-23
Voir la notice de l'article provenant de la source Math-Net.Ru
Almost all current automatic speech recognition systems are based on the standard procedure. Its architecture is shown in the article. Most widespread methods and algorithms are described. The authors showed the necessity of fundamentally new approach to problems of speech recognition and represented its key idea.
Mots-clés :
Fourier transform
Keywords: hidden Markov models, artificial neuron nets, acoustic variability.
Keywords: hidden Markov models, artificial neuron nets, acoustic variability.
@article{IZKAB_2016_6_a2,
author = {I. A. Gurtueva and I. D. Taisaev},
title = {Methods and algorithms for automatic speech recognition: concise review},
journal = {News of the Kabardin-Balkar scientific center of RAS},
pages = {18--23},
publisher = {mathdoc},
number = {6},
year = {2016},
language = {ru},
url = {http://geodesic.mathdoc.fr/item/IZKAB_2016_6_a2/}
}
TY - JOUR AU - I. A. Gurtueva AU - I. D. Taisaev TI - Methods and algorithms for automatic speech recognition: concise review JO - News of the Kabardin-Balkar scientific center of RAS PY - 2016 SP - 18 EP - 23 IS - 6 PB - mathdoc UR - http://geodesic.mathdoc.fr/item/IZKAB_2016_6_a2/ LA - ru ID - IZKAB_2016_6_a2 ER -
I. A. Gurtueva; I. D. Taisaev. Methods and algorithms for automatic speech recognition: concise review. News of the Kabardin-Balkar scientific center of RAS, no. 6 (2016), pp. 18-23. http://geodesic.mathdoc.fr/item/IZKAB_2016_6_a2/