Preventing AI Audio Models From Being ‘Fooled’

Researchers at the UPV/EHU-University of the Basque Country show that the distortion metrics used to detect intentional perturbations in audio signals are not a reliable measure of human perception, and have proposed a series of improvements. These perturbations in audio signals, designed to be imperceptible, can be used to cause erroneous predictions in artificial intelligence (AI).