AINeutralarXiv – CS AI · Mar 167/10
🧠
On Deepfake Voice Detection -- It's All in the Presentation
Researchers have identified why current deepfake voice detection systems fail in real-world applications, finding that existing datasets don't account for how audio changes when transmitted through communication channels. A new framework improved detection accuracy by 39-57% and emphasizes that better datasets matter more than larger AI models for effective deepfake detection.