{
  "id": 10839719,
  "title": "MultiTalk: Scaling Full-Duplex Speech Models to Long, Multi-Party, Bilingual Conversation",
  "url": "https://urgent.news/2026/09/29/multitalk-scaling-full-duplex-speech-models-to-long-multi-party",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-29T07:25:29.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.36903v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "End-to-end full-duplex speech models have brought open-source machine conversation closer to human-like interaction, yet existing systems remain limited in two intertwined dimensions: long-context robustness and multi-party interaction. Real-world scenarios such as meetings, group lessons, and social-robot reception require a single model to track, contextualize, and respond to multiple speakers…",
  "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."
}