The researchers first used psychoacoustical methods to test how well human voice identity is preserved in deepfake voices. To do this, they recorded the voices of four male speakers and then used a conversion algorithm to generate deepfake voices. In the main experiment, 25 participants listened to multiple voices and were asked to decide whether or not the identities of two voices were the same. Participants either had to match the identity of two natural voices, or of one natural and one deepfake voice.
The deepfakes were correctly identified in two thirds of cases. “This illustrates that current deepfake voices might not perfectly mimic an identity, but do have the potential to deceive people,” says Claudia Roswandowitz, first author and a postdoc at the Department of Computational Linguistics...
The researchers then used imaging techniques to examine which brain regions responded differently to deepfake voices compared to natural voices. They successfully identified two regions that were able to recognize the fake voices: the nucleus accumbens and the auditory cortex. “The nucleus accumbens is a crucial part of the brain’s reward system. It was less active when participants were tasked with matching the identity between deepfakes and natural voices,” says Claudia Roswandowitz. In contrast, the nucleus accumbens showed much more activity when it came to comparing two natural voices.
The complete paper appears in Nature.
What has this "journalist" been drinking?
The journalist seems to be suckling at the corporate teat.
Speculators who hope there are enough greater-fools out there to cover the 'investment' long enough for them to get in and out.
a universal app to manage everything in his life,
Ah, the dream of Lotus Agenda (or Chandler); the thing that finally gets us all organized and on track. No royal road, unfortunately. At least not yet.
Heuristics are bug ridden by definition. If they didn't have bugs, then they'd be algorithms.