# Adversarial learning

VITS is an end-to-end speech synthesis model capable of predicting corresponding speech waveforms from input text sequences. The model employs a conditional variational autoencoder (VAE) architecture, including a posterior encoder, decoder, and conditional prior module.

Russian text-to-speech model based on VITS2 architecture, trained with Natasha dataset, providing efficient and natural speech synthesis capabilities.