DDSP-SVC is an open-source singing voice conversion system that transforms one voice to another using neural network models. It leverages Differentiable Digital Signal Processing with pre-trained feature encoders like ContentVec, vocoder-based enhancers, and shallow diffusion models to achieve high-quality voice synthesis with lower hardware requirements than comparable systems like SO-VITS-SVC. The project includes training pipelines and real-time inference capabilities for voice changing applications.