Editing Detecting deep-fake audio through vocal tract reconstruction
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''''[[Who Are You (I Really Wanna Know)? Detecting Audio DeepFakes Through Vocal Tract Reconstruction]]'''' is an epic scientific work against the voice thieving machines from the [[w:University of Florida]] in published in 2022. | |||
The work [https://www.usenix.org/system/files/sec22fall_blue.pdf '''''Who Are You (I Really Wanna Know)? Detecting Audio DeepFakes Through Vocal Tract Reconstruction''''' at usenix.org], [https://www.usenix.org/conference/usenixsecurity22/presentation/blue presentation page], [https://www.usenix.org/system/files/sec22-blue.pdf version included in the proceedings]<ref name="University of Florida 2022"> | The work [https://www.usenix.org/system/files/sec22fall_blue.pdf '''''Who Are You (I Really Wanna Know)? Detecting Audio DeepFakes Through Vocal Tract Reconstruction''''' at usenix.org], [https://www.usenix.org/conference/usenixsecurity22/presentation/blue presentation page], [https://www.usenix.org/system/files/sec22-blue.pdf version included in the proceedings]<ref name="University of Florida 2022"> | ||
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| first8 = Patrick | | first8 = Patrick | ||
| date = August 2022 | | date = August 2022 | ||
| title = Detecting | | title = Who Are You (I Really Wanna Know)? Detecting Audio DeepFakes Through Vocal Tract Reconstruction | ||
| url = https://www.usenix.org/conference/usenixsecurity22/presentation/blue | | url = https://www.usenix.org/conference/usenixsecurity22/presentation/blue | ||
| journal = Proceedings of the 31st USENIX Security Symposium | | journal = Proceedings of the 31st USENIX Security Symposium | ||
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}} | }} | ||
</ref> and [https://www.usenix.org/system/files/sec22_slides-blue.pdf slides] from researchers of the | </ref> and [https://www.usenix.org/system/files/sec22_slides-blue.pdf slides] from researchers of the Florida Institute for Cybersecurity Research (FICS) in the [[w:University of Florida]] received funding from the [[w:Office of Naval Research]] and was presented in August 2020 at the [[w:USENIX]] Security Symposium. | ||
''' 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 | ||
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|quote=By estimating the anatomy responsible for creating the observed speech, it’s possible to identify the whether the audio was generated by a person or a computer.}} | |quote=By estimating the anatomy responsible for creating the observed speech, it’s possible to identify the whether the audio was generated by a person or a computer.}} | ||
</ref> that was published Tuesday 2022-09-20 and permanently [[w:copyleft]]ed it under Creative Commons Attribution-NoDerivatives (CC-BY-ND). | </ref> that was published Tuesday 2022-09-20 and permanently [[w:copyleft]]ed it under Creative Commons Attribution-NoDerivatives (CC-BY-ND). | ||
Below is an exact copy of the [https://theconversation.com/deepfake-audio-has-a-tell-researchers-use-fluid-dynamics-to-spot-artificial-imposter-voices-189104 original article] from the [https://stop-synthetic-filth.org/wp/republished/amazing-method-and-results-from-university-of-florida-scientists-in-2022-against-the-menaces-of-digital-sound-alikes-audio-deepfakes/ SSF! wordpress titled "''Amazing method and results from University of Florida scientists in 2022 against the menaces of digital sound-alikes / audio deepfakes''"]. Thank you to the original writers for having the wisdom of licensing the article under CC-BY-ND. | Below is an exact copy of the [https://theconversation.com/deepfake-audio-has-a-tell-researchers-use-fluid-dynamics-to-spot-artificial-imposter-voices-189104 original article] from the [https://stop-synthetic-filth.org/wp/republished/amazing-method-and-results-from-university-of-florida-scientists-in-2022-against-the-menaces-of-digital-sound-alikes-audio-deepfakes/ SSF! wordpress titled "''Amazing method and results from University of Florida scientists in 2022 against the menaces of digital sound-alikes / audio deepfakes''"]. Thank you to the original writers for having the wisdom of licensing the article under CC-BY-ND. | ||
{{#Widget:Iframe - Amazing method and results from University of Florida scientists in 2022 against the menaces of digital sound-alikes / audio deepfakes}} | {{#Widget:Iframe - Amazing method and results from University of Florida scientists in 2022 against the menaces of digital sound-alikes / audio deepfakes}} | ||
== References == | == References == | ||
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[[Category:Science]] | [[Category:Science]] | ||