# Sample audio files

Place six WAV files here so the `/api/samples` endpoint can serve them and the
Demo page's "Sample Library" can play them in-browser:

| File | Label | Suggested source |
|------|-------|------------------|
| `real_news_excerpt.wav` | REAL | LibriSpeech / VCTK clean recording |
| `real_conversation.wav` | REAL | Common Voice spontaneous clip |
| `real_lecture.wav` | REAL | TED-LIUM lecture excerpt |
| `fake_tts_commercial.wav` | FAKE | Eleven Labs / Microsoft TTS export |
| `fake_voice_clone.wav` | FAKE | Few-shot voice conversion (RVC, So-VITS) |
| `fake_neural_tts.wav` | FAKE | Coqui TTS / xTTS-v2 output |

## Format requirements
- 16 kHz, mono, PCM 16-bit (the backend resamples anything else, but this is
  the canonical format).
- 3–10 s each is plenty.
- Keep file size under 1 MB so the demo loads quickly.

## How to populate

1. Drop your WAVs in this folder using exactly the filenames above.
2. Restart the backend (`docker compose restart backend` or `uvicorn`).
3. Visit `/api/samples` — your clips will appear with the correct labels.

If you don't have ready-made clips, the easiest pipeline is:
- Record yourself for the REAL files via the in-app microphone, then export
  the saved clips and rename them.
- Generate the FAKE files using any open-source TTS (e.g. [Coqui xTTS-v2](https://github.com/coqui-ai/TTS),
  [Tortoise TTS](https://github.com/neonbjb/tortoise-tts), or a hosted service
  such as Eleven Labs).