Creating a database for modeling system for speech
News of the Kabardin-Balkar scientific center of RAS, no. 6-2 (2018), pp. 181-186
Voir la notice de l'article provenant de la source Math-Net.Ru
The stages of creating a phonetic-acoustic database, adapted for learning the system of automatic
speech synthesis based on deep convolutional neural networks, are described. A phonetic transcriptor
designed with consideration of the grapheme-phonemic transformations of the Chechen language is
presented.
Keywords:
speech database, automatic synthesis of Chechen speech, end-to-end speech synthesis system, machine learning, phonetic transcriptor.
@article{IZKAB_2018_6-2_a16,
author = {E. S. Izrailova},
title = {Creating a database for modeling system for speech},
journal = {News of the Kabardin-Balkar scientific center of RAS},
pages = {181--186},
publisher = {mathdoc},
number = {6-2},
year = {2018},
language = {ru},
url = {http://geodesic.mathdoc.fr/item/IZKAB_2018_6-2_a16/}
}
E. S. Izrailova. Creating a database for modeling system for speech. News of the Kabardin-Balkar scientific center of RAS, no. 6-2 (2018), pp. 181-186. http://geodesic.mathdoc.fr/item/IZKAB_2018_6-2_a16/