Creating a database for modeling system for speech synthesis based on a deep convolution neural networks

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.