FACTOR is pleased to announce our next talk in the 2024-2025 academic year by FACTOR PhD student Hope McVean (LAEL, Lancaster University):

TITLE

Sounds familiar: How does a listener’s familiarity with a voice affect their ability to detect an AI-generated version of that voice?

ABSTRACT

Recent technological advancements mean that AI-generated speech has rapidly advanced in quality, to the point where it can be virtually indistinguishable from genuine human speech. This opens the door to a new breed of cybercrime: one which utilises AI to create fraudulent representations of a target’s speech in an attempt to deceive listeners into believing that they are genuine. Presently, curbing this deception is difficult, since the conditions dictating accurate discrimination between genuine and synthetic speech are little understood. This talk examines one factor: a potential victim’s familiarity with the speaker’s voice. When the speaker’s voice is well-known to a listener (i.e. a celebrity or loved one), does this impact the listener’s ability to recognise an AI-generated sample of that speaker’s voice? If so, why? What other factors may also be at play, and how might those factors interact with familiarity to influence the potential victim’s performance? With the insights gained by addressing these questions, we begin to give ourselves the tools to mitigate against AI-mediated cybercrime.

TIME & PLACE

W04, 1500-1550, Thu 31st Oct 2024, Bowland North SR2. (Please note that this talk will not be streamed or recorded.)

Find information on how to get to campus here, and how to navigate campus buildings here.

REGISTRATION

For accessibility, fire, and safety compliance, please register before attending.