Personalized deepfake detection

One or more non-transitory computer-readable media storing instructions executable to perform operations, the operations comprising:

• receiving an unverified audio input signal of speech from a target speaker;
• receiving one or more verified audio input signals of speech from the target speaker;
• segmenting the one or more verified audio input signals into a plurality of windows;
• generating, at a neural network, a plurality of deepfake scores for the one or more verified audio input signals, including generating a respective deepfake score for each of the plurality of windows;
• determining a score distribution across the plurality of deepfake scores;
• generating, at the neural network, a test score for the unverified audio input signal;
• and
• determining, based on the test score and the score distribution, that the unverified audio input signal is one of authentic or fake.

A computer-implemented method for deepfake detection, comprising:

• receiving an unverified audio input signal of speech from a target speaker;
• receiving one or more verified audio input signals of speech from the target speaker;
• segmenting the one or more verified audio input signals into a plurality of windows;
• generating, at a neural network, a plurality of deepfake scores for the one or more verified audio input signals, including generating a respective deepfake score for each of the plurality of windows;
• determining a score distribution across the plurality of deepfake scores;
• generating, at the neural network, a test score for the unverified audio input signal;
• and
• determining, based on the test score and the score distribution, that the unverified audio input signal is one of authentic or fake.