{
  "id": 15226,
  "url": "https://arxiv.org/abs/2607.28351v1",
  "title": "Teffic-Audio: Tell Fact from Fiction",
  "summary": "Speech deepfake detection has expanded in scope with increasingly heterogeneous spoofing mechanisms, including speech synthesis, voice conversion, vocoder reconstruction, and neural-codec resynthesis. The resulting spoofing artifacts can be further shaped by variability in source speech, recording environments, and transmission channels. This variability makes robust generalization across heterogeneous conditions a central requirement for practical detection systems. This report presents Teffic-",
  "authors": "Wan Lin, Li Wang, Jindong Wang, Kunyu Feng, Zhizheng Wu",
  "category": "research",
  "topics": "misinformation,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-30T15:21:38.000Z",
  "fetched_at": "2026-07-31T05:10:57.675Z",
  "source_slug": "x-arxiv-cs-ai",
  "source_name": "arXiv cs.AI",
  "source_homepage": "https://arxiv.org/list/cs.AI/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/15226",
  "original_url": "https://arxiv.org/abs/2607.28351v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}