🎵 TTS Audio Deepfake Detection Model
Overview
Modern Text-to-Speech (TTS) systems can closely mimic natural human voices in intonation, rhythm, and timbre. These systems, powered by large neural networks and neural vocoders, are widely used for voice cloning, impersonation, and automated content generation.
Our Noise-Robust TTS Detection Model is specifically designed to detect AI-generated speech even in real-world conditions, where background noise, compression, and recording artifacts often degrade audio quality. The model combines self-supervised speech representations with low-level acoustic signal analysis to detect subtle inconsistencies that remain invisible to traditional detectors.
🌟 Key Features
| Feature | Description |
|---|---|
| 🗣️ Voice Clone Detection | Identifies AI-generated voices and sophisticated voice conversion |
| ⏱️ Short Segment Analysis | Effective detection on segments as short as 4 seconds |
| 🎚️ Manipulation Detection | Detects pitch, tempo, and other audio modifications |
| 🔊 Multi-Channel Support | Analyzes both mono and stereo audio streams |
| 🎯 High Precision | Advanced spectral analysis for accurate detection |
⚙️ How It Works
Our audio detection system employs a sophisticated sliding-window analysis approach:
1. 🔄 Segmentation Process
- Audio is automatically segmented into 4-second windows
- 50% overlap between windows ensures comprehensive coverage
- Maintains temporal context while enabling detailed analysis
2. 🧠 Spectral Analysis
- Deep neural networks analyze spectral discrepancies
- Identifies synthetic artifacts in frequency domain
- Detects unnatural harmonics and formant patterns
3. 📊 Confidence Scoring
- Each window receives a confidence score (0 to 1)
- Higher scores indicate greater likelihood of manipulation
- Aggregated results provide overall assessment
📥 Input Specifications
Supported Formats
🎥 Video Audio Extraction
- Source: Audio tracks from video files
- Channels: Mono and stereo support
- Processing: Automatic audio stream extraction
🎵 Direct Audio Input
- Format: WAV (primary support)
- Quality: Standard to high-quality audio
- Duration: No minimum length requirement