{
  "id": 14143,
  "url": "https://arxiv.org/abs/2607.25626v1",
  "title": "Joint Text-Audio Alignment for EEG-to-Text Decoding in Chinese Speech Production and Perception",
  "summary": "Decoding speech information directly from scalp electroencephalography (EEG) into text provides a potential non-invasive neural communication pathway for individuals with severe speech and motor impairments. Compared with invasive approaches such as electrocorticography, EEG is safer and more widely deployable, yet substantially more challenging to decode.This challenge is exacerbated for Chinese sentence decoding, which must handle a high-dimensional output space with thousands of characters, s",
  "authors": "Tian Zheng, Xurong Xie, Xinxin Zhu, Xiaolan Peng, Feng Tian",
  "category": "research",
  "topics": "safety-alignment",
  "orgs": null,
  "regions": "china",
  "published_at": "2026-07-28T12:06:56.000Z",
  "fetched_at": "2026-07-29T05:10:12.205Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/14143",
  "original_url": "https://arxiv.org/abs/2607.25626v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}