A speech deepfake detector estimates whether a recording is synthetic, but a forensic analyst also asks which system produced it, whether recordings share a source, and what evidence supports each con
VeriSpoof is an audio language model that unifies deepfake detection, generator attribution, source verification, and evidence-based rationale generation with minimal parameter updates.
A speech deepfake detector estimates whether a recording is synthetic, but a forensic analyst also asks which system produced it, whether recordings share a source, and what evidence supports each conclusion. We present VeriSpoof, an audio language model that unifies five tasks with shared weights: deepfake detection, generator attribution (generator, acoustic model and vocoder), recording-condition analysis, synthesized-span localisation, and source verification. Each decision is supported by grounded rationales whose statements can be independently verified. Answers are scored by sentence likelihood, allowing detection and source verification to be thresholded without separate heads.…
Summary and abstract excerpt via Hugging Face Papers ↗ · arXiv.
VeriSpoof: Beyond Real or Fake with One Audio LLM was first seen on Hugging Face · Daily papers on Nov 5, 2026. Since then it has appeared in 4 checks on 2 different days. Its best position was #29 of 30, reached on Nov 5, 15:28 UTC. It dropped off the list after Nov 6, 01:28 UTC.
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Not at the moment. It was last on the list on Nov 6, 01:28 UTC, after 2 days of trending.
#29 on Hugging Face · Daily papers, on Nov 5, 15:28 UTC. Trendoday checks this list every 120 minutes.
It was first seen on Nov 5, 2026 and has been on the list on 2 days (4 checks) since.