ardha27/AI-Song-Cover-RVC
A Google Colab toolkit for training and running RVC (Retrieval-Based Voice Conversion) models to generate AI song covers.

The repository provides an all-in-one workflow for creating AI voice covers using RVC technology. Users can download YouTube audio as WAV files, separate vocals using source separation, split audio segments, train custom voice conversion models, and run inference to generate covers. The toolkit is designed to run entirely on Google Colab or Kaggle, providing notebooks for downloading assets, training without UI dependencies, and running modified AICoverGen inference.
Frequently asked
- What is ardha27/AI-Song-Cover-RVC?
- A Google Colab toolkit for training and running RVC (Retrieval-Based Voice Conversion) models to generate AI song covers.
- Is AI-Song-Cover-RVC open source?
- Yes — ardha27/AI-Song-Cover-RVC is open source, released under the MIT license.
- What language is AI-Song-Cover-RVC written in?
- ardha27/AI-Song-Cover-RVC is primarily written in Jupyter Notebook.
- How popular is AI-Song-Cover-RVC?
- ardha27/AI-Song-Cover-RVC has 1.2k stars on GitHub.
- Where can I find AI-Song-Cover-RVC?
- ardha27/AI-Song-Cover-RVC is on GitHub at https://github.com/ardha27/AI-Song-Cover-RVC.