Berrak Sisman

Grounded explanations for speech deepfake detection can boost accuracy by over 45%, transforming how we interpret AI decisions in this critical domain.

Finally, voice anonymization offers a smooth, tunable knob to balance privacy and prosody, instead of forcing you to pick just one.

Training on real speech prosody alone can cut speech deepfake error rates by over 70% on emotional attacks, a blindspot for current detectors.