AI Voice Conversion
AI Voice Conversion is a app in the osFoundry community catalog. Train a voice model from samples of a speaker, then convert any audio to that speaker's voice. Singing-voice-friendly (preserves pitch + breath). Powered by so-vits-svc. **⚠️ GPU strongly recommended for training (12+ GB VRAM); inference is CPU-workable**.
Details
- Workspace: osfoundry
- Category: COMMUNICATION
- Pricing: Free
- Access: Community
Features
- Train a voice model from samples of a speaker
- Then convert any audio to that speaker's voice
Documentation
# AI Voice Conversion
Train a voice model from samples + convert audio to that voice, powered by so-vits-svc.
## ⚠️ Heavy + GPU-bound for training
- **Training a new voice model**: 12+ GB VRAM, ~hours per model. **CPU is impractical**.
- **Inference (using an existing model)**: CPU-workable at slower-than-real-time speeds.
## Features
- Singing voice conversion (preserves pitch + breath dynamics)
- Train from 30 min - 2 hours of clean speech / vocal samples
- Hubert + ContentVec acoustic feature encoders
- f0 modeling (pitch extraction + reconstruction)
- Gradio UI for inference
## Ethical notes
Voice cloning has obvious abuse potential. Don't train models of voices you don't have explicit permission to clone. Don't release synthesised audio of real people without consent.
## Packaging
Python + Gradio + so-vits-svc from upstream. Models + training data at `/data`.
## CONFIRM-AT-BUILD
so-vits-svc has many forks. The base repo (svc-develop-team) is the canonical one but its CLI evolves quickly — pin a specific commit.
How to use AI Voice Conversion in osFoundry
Install AI Voice Conversion into your workspace in one click, then fork it in osStudio to customise the prompts, tools, or configuration for your stack. Anyone in your workspace can pick up where you left off.
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