yxlllc/DDSP-SVC
Real-time singing voice conversion system using differentiable digital signal processing and deep learning models.
Not currently ranked — collecting fresh signals.
star history
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.
Frequently asked
- What is yxlllc/DDSP-SVC?
- Real-time singing voice conversion system using differentiable digital signal processing and deep learning models.
- Is DDSP-SVC open source?
- Yes — yxlllc/DDSP-SVC is open source, released under the MIT license.
- What language is DDSP-SVC written in?
- yxlllc/DDSP-SVC is primarily written in Python.
- How popular is DDSP-SVC?
- yxlllc/DDSP-SVC has 2.6k stars on GitHub.
- Where can I find DDSP-SVC?
- yxlllc/DDSP-SVC is on GitHub at https://github.com/yxlllc/DDSP-SVC.