{
  "id": 12285786,
  "title": "GS-Codec: A Gaussian-Splatting Bottleneck for Neural Audio Coding",
  "url": "https://urgent.news/2026/10/03/gs-codec-a-gaussian-splatting-bottleneck-for-neural-audio-coding",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-03T16:49:17.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.04651v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Neural audio codecs compress waveforms into compact discrete tokens that underpin speech language models, real-time communication, and large-scale audio storage. Almost every dominant design, including residual vector quantization, finite scalar quantization, and single-codebook variants, follows the VQ-VAE template by partitioning the encoder latent through a learned codebook or a fixed scalar…",
  "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."
}