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Detecting deep-fake audio through vocal tract reconstruction: Difference between revisions
Detecting deep-fake audio through vocal tract reconstruction (edit)
Revision as of 21:31, 26 October 2022
, 1 year ago+ original reporting was written by PhD student Logan Blue and professor Patrick Traynor
Juho Kunsola (talk | contribs) (+ <iframe> "Amazing method and results from University of Florida scientists in 2022 against the menaces of digital sound-alikes / audio deepfakes (originally published at TheConversation.com)") |
Juho Kunsola (talk | contribs) (+ original reporting was written by PhD student Logan Blue and professor Patrick Traynor) |
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''' Original reporting ''' | ''' Original reporting ''' | ||
PhD student Logan Blue and professor Patrick Traynor wrote an article for the general public on the work titled [https://theconversation.com/deepfake-audio-has-a-tell-researchers-use-fluid-dynamics-to-spot-artificial-imposter-voices-189104 '''''Deepfake audio has a tell – researchers use fluid dynamics to spot artificial imposter voices''''' at theconversation.com]<ref name="The Conversation 2022"> | |||
{{cite web | {{cite web | ||
|url=https://theconversation.com/deepfake-audio-has-a-tell-researchers-use-fluid-dynamics-to-spot-artificial-imposter-voices-189104 | |url=https://theconversation.com/deepfake-audio-has-a-tell-researchers-use-fluid-dynamics-to-spot-artificial-imposter-voices-189104 | ||