Vauxguard: Zero-Shot LLM-Mediated Interpretable Acoustic Forensics for Synthetic Speech Detection

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Vauxguard is a web-based synthetic speech detection system that combines deterministic acoustic feature extraction with large-language-model-mediated classification. The system extracts seven interpretable signal-processing features from 16 kHz mono audio and uses an LLM to classify recordings as genuine or synthetic. A pilot evaluation on 50 balanced samples, including 25 human recordings and 25 synthetic clips generated using ElevenLabs and OpenAI TTS, achieved 86.0% accuracy, 82.1% precision, 92.0% recall, and an F1 score of 86.8%. This preprint describes the system architecture, evaluation methodology, limitations, and reproducibility materials.