RVC-Project
Where to start learning how the RVC algorithm works?
I’m new to voice-conversion and excited to explore RVC! I’ve read through the README and glanced at the code in model.py and inference.py, but I’m not sure where the “core” algorithm is implemented, and how all the pieces fit together.
What I’d love to know:
Which files or classes handle the feature extraction and model architecture?
Where is the training loop defined, and how do data preprocessing and postprocessing hook in?
Are there any papers, blog posts, or diagrams you recommend for a high-level overview?
Any in-code comments or tutorials aimed at beginners that I should read first?
I’m eager to learn and eventually contribute—thanks in advance for any guidance! 🙏
You could download the repo, and have Cursor analyse the files, and create user manuals, developer notes, architecture diagrams in UML. with mermaid you can render the UML and it will often provide class, sequence, state and compontnet diagrams. You can ask it questions from there, and use it instead of google.
I recommend paying for the $20/month and using Anthropic API Key. it costs a little, but the speed at which you can deploy a totally new anything is amazing. I have ZERO affiliation with Anthropic or Cursor, I'm just a fan.
