SatyaDrishti Audio Deepfake Detector

ΰ€Έΰ€€ΰ₯ΰ€―ΰ€¦ΰ₯ƒΰ€·ΰ₯ΰ€Ÿΰ€Ώ β€” AI-Powered Digital Forensics Platform
Chandigarh Police National Hackathon 2026 β€” Track 4

Architecture

  • Backbone: facebook/wav2vec2-base (self-supervised speech)
  • Sequence: BiGRU (256 hidden x 2 layers, bidirectional)
  • Attention: Multi-Head Attention (4 heads)
  • Head: LayerNorm -> Dropout -> Linear(512)->GELU -> Linear(256)->GELU -> Linear(2)
  • Input: 16kHz mono audio, 4 seconds

Training Datasets (~50K+ samples)

  1. CommonVoice 13.0 β€” 15K real human speech
  2. LibriSpeech β€” 5K real read speech
  3. MLAAD β€” 10K synthetic (175 TTS models)
  4. FakeOrReal β€” 8K balanced
  5. Voice Conversion samples β€” 5K
  6. Kokoro TTS β€” 5K generated

Performance

  • Val AUC: 1.0000
  • Classes: REAL (0), FAKE/SYNTHETIC (1)

Companion Model

satyadrishti-deepfake-detector β€” image/video

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Datasets used to train thecnical/satyadrishti-audio-detector