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! 🙏

Start with the README and the model.py and inference.py files mentioned in the issue, then trace feature extraction, model architecture, training, preprocessing, and postprocessing from those entry points. The issue does not identify a specific documentation artifact or completion criterion; it would need a defined beginner guide, diagram, or referenced learning materials before work could be considered done.