InfoResearchPreprintLLM-specific
VeriSpoof: Beyond Real or Fake with One Audio LLM
- Published
- Record updated
Summary
VeriSpoof is an audio language model that unifies five forensic tasks with shared weights: deepfake detection, generator attribution, recording-condition analysis, synthesized-span localisation, and source verification. On 14 Speech-DF-Arena test sets, VeriSpoof-Plus reaches 2.14% pooled EER, ranking third of 28 systems and first among open-weight systems, while VeriSpoof-Base reaches 4.43% EER. The authors release both models, inference code, a demo, and the VeriSpoof-Bench evaluation suite.