{
  "id": 12080182,
  "title": "Revisiting Input Time-frequency Representations in Multi-pitch Estimation for Vocal Ensembles",
  "url": "https://urgent.news/2026/10/02/revisiting-input-time-frequency-representations-in-multi-pitch",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-02T17:35:06.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.03656v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Multi-pitch estimation in vocal ensembles is challenging because singers occupy overlapping pitch ranges and often sing at closely spaced fundamental frequencies, causing their harmonics to overlap in time-frequency representations. Existing models commonly use harmonic constant-Q transform (HCQT)-based representations to provide frequency-adaptive resolution, at the cost of expensive feature…",
  "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."
}