Audio deepfakes are becoming ubiquitous – blurring the line between fact and fiction – but UF researchers are working to develop methods to help the public navigate this new technological terrain.
Deepfake Audio Has a Tell – Researchers Use Fluid Dynamics to Spot Artificial Imposter Voices
Patrick Traynor, Ph.D., Professor and John H. and Mary Lou Dasburg Preeminent Chair in Engineering in the Department of Computer and Information Science and Engineering (CISE), and Logan Blue, a Ph.D. student in CISE, write in The Conversation about why detecting audio deepfakes may be even more important than catching video deepfakes.