The research was presented in a session at the Black Hat conference in Las Vegas on Aug.

The team has succeeded in training mice to distinguish between the sounds of certain consonant pairs, which could be useful in detecting fake speech. Humans might be inclined to pass over this red flag for fakery because we're trained to extract the meaning from sentences we hear while adjusting for verbal flubs, accents and other inconsistencies. Let's say some faked speech of a celebrity portrays them ordering a 'hamburber,' for instance. This lack of understanding could actually be a bonus for detecting fake speech, however, because mice can't be swayed to overlook the telltale signs of a fake while they're focusing on decoding the actual meaning of the words.įor example, a deepfake audio file might include a subtle mistake, like the sound of 'b' where a 'g' should be.

In other words, mice have an auditory system similar to humans, except they can't understand words they hear. 'Studying the computational mechanisms by which the mammalian auditory system detects fake audio could inform next-generation, generalizable algorithms for spoof detection.' 'We believe that mice are a promising model to study complex sound processing,' reads a white paper from a trio of researchers led by Jonathan Saunders from the University of Oregon Institute of Neuroscience.

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