Retrieval-based Voice Conversion (RVC) lets you clone voices with minimal training data. The results are frighteningly realistic.
Quick Deploy
```bash # Clone the repo git clone https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI.git cd Retrieval-based-Voice-Conversion-WebUI
# Install dependencies pip install -r requirements.txt
# Download pretrained models python tools/download_models.py
# Run WebUI python infer-web.py ```
One-Click Package
Download the pre-packaged version from releases - includes everything.
Use Cases
Content Creation: Create voiceovers in different voices for videos.
Music Production: AI covers - make any singer perform any song.
Game Development: Generate character voices without hiring actors.
Accessibility: Create personalized TTS voices.
Dubbing: Translate content while keeping the original voice.
Podcasting: Consistent voice even when you're sick.
Training Your Own Voice
1. Collect 10-30 minutes of clean audio 2. Upload to the training tab 3. Set epochs (300-500 for good results) 4. Train and export model
Real-Time Conversion
RVC supports real-time voice conversion - speak into your mic and output in a different voice. Great for streaming or calls.
Pro Tips
- Clean audio = better results - Remove background noise before training - More diverse training data = more natural output - Use GPU for real-time conversion
Ethical Note
Don't clone voices without permission. Don't use for fraud or impersonation. Be responsible.