Creating a database for modeling system for speech
News of the Kabardin-Balkar scientific center of RAS, no. 6-2 (2018), pp. 181-186

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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/}
}
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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/