The project implements VITS2, an end-to-end neural vocoder for TTS, enhanced by multilingual BERT to improve prosody and pronunciation accuracy. Users preprocess training data using webui_preprocess.py, and the system supports multiple languages through BERT embeddings. The architecture builds on prior work from MassTTS and jaywalnut310/vits.