{
  "id": 527027,
  "title": "Beyond Naturalness: Probing Automated Text-To-Speech Evaluators on Linguistically Grounded Dimensions",
  "url": "https://urgent.news/2026/08/10/beyond-naturalness-probing-automated-text-to-speech-evaluators-on",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-10T17:59:51.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.09930v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Automated Text-to-Speech (TTS) evaluation methods (Mean Opinion Score (MOS) predictors and Audio Large Language Models (Audio-LLM) judges) are expected to reflect human perception, yet it is unclear how well they capture the distinct aspects of speech that listeners actually perceive. We deconstruct \"naturalness\" into a linguistically grounded annotation schema spanning 10 distinct perceptual…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}