{
  "id": 9055397,
  "title": "Bearings: Self-Supervised Soundfield Embeddings from First-Order Ambisonics",
  "url": "https://urgent.news/2026/09/19/bearings-self-supervised-soundfield-embeddings-from-first-order",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-19T17:40:28.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.23152v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Recently proposed self-supervised audio encoders learn powerful general-purpose representations of sound scenes, yet they are spatially blind. To supply the missing spatial representation of sound scenes, we introduce Bearings. Bearings is a self-supervised framework that learns soundfield embeddings from unlabeled first-order Ambisonics. We pre-train a masked auto-encoder paired with a decoder…",
  "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."
}