Every Breath You Don't Take: Deepfake Speech Detection Using Breath

arXiv:2404.15143v1 Announce Type: cross
Abstract: Deepfake speech represents a real and growing threat to systems and society. Many detectors have been created to aid in defense against speech deepfakes. While these detectors implement myriad methodologies, many rely on low-level fragments of the speech generation process. We hypothesize that breath, a higher-level part of speech, is a key component of natural speech and thus improper generation in deepfake speech is a performant discriminator. To evaluate this, we create a breath detector …

aid arxiv cs.cr cs.mm cs.sd deepfake deepfakes defense detection don eess.as fragments low methodologies process real society speech systems threat