This project is a fork of so-vits-svc that adds realtime support and improved interfaces for voice conversion. It uses deep learning models including VITS (Variational Inference for Text-to-Speech), HuBERT, and ContentVec for speech representation. The system is built with PyTorch and PyTorch-Lightning, supporting real-time voice conversion and synthesis as a voice changer tool.