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Initial commit: Audio Deepfake Detector with 8 detectors trained on jay15k
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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, Tortoise TTS, or a hosted service such as Eleven Labs).