Audio Deepfake & Voice Clone Detector using Spectral Phase Analysis
Acoustic forensics model analyzing high-frequency bispectrum phase incoherencies to expose AI-generated ElevenLabs and VITS voice clones.
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Project Technical Overview
Extracts Constant Q-Transform (CQT) and Linear Frequency Cepstral Coefficients (LFCC) from audio files. A convolutional ResNet-SE architecture detects phase discrepancies and unnatural vocoder harmonics inherent to state-of-the-art voice cloning tools.
Read the foundational IEEE conference research paper, citations, and algorithmic architecture for this project.