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| title: Amphion Vevo Voice Conversion | |
| emoji: 🎤 | |
| colorFrom: indigo | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: 4.8.0 | |
| app_file: app.py | |
| pinned: false | |
| python_version: "3.10" | |
| # Amphion's Vevo - Voice Conversion & TTS | |
| This is a Gradio web interface for the Vevo voice conversion model from the Amphion toolkit. It supports: | |
| - Voice conversion (transferring both style and timbre) | |
| - Timbre-only conversion | |
| - Text-to-Speech with voice cloning | |
| ## Usage | |
| 1. Select mode: | |
| - **Voice**: Convert voice with both style and timbre transfer | |
| - **Timbre**: Convert only the timbre of the voice | |
| - **TTS**: Generate speech from text with voice cloning | |
| 2. Upload audio files based on mode: | |
| - Source Audio: Your input audio (for voice and timbre modes) | |
| - Reference Style: Style reference (for voice and TTS modes) | |
| - Reference Timbre: Voice reference (required for all modes) | |
| 3. For TTS mode: | |
| - Enter the text you want to convert to speech | |
| - Optionally provide reference text | |
| - Select source and reference languages | |
| 4. Adjust Flow Matching Steps (1-64, default: 32) | |
| - Higher values give better quality but take longer | |
| - Lower values are faster but may reduce quality | |
| 5. Click "Generate" to create the converted audio | |
| ## Sample Files | |
| Sample audio files are available in the `Amphion/models/vc/vevo/wav/` directory: | |
| - arabic_male.wav | |
| - source.wav | |
| ## Technical Requirements | |
| - Python 3.10+ | |
| - CUDA-capable GPU recommended for faster inference | |
| - Minimum 12GB storage space for models | |
| ## Models | |
| The application automatically downloads required models from Hugging Face: | |
| - Content Tokenizer (vq32) | |
| - Content-Style Tokenizer (vq8192) | |
| - Autoregressive Transformer | |
| - Flow Matching Transformer | |
| - Vocoder |