{
  "url": "https://appliedfrontier.nl/en/research/signal-e3ddd7a65cd3a566/",
  "title": "Measuring benchmark optimization in speech recognition",
  "published": "2026-08-21",
  "excerpt": "",
  "content_sha256": "32be9911bbaafa8677b4c20e16657df2292991f95063b170dcaa1aa1f28b0961",
  "extracted_chars": 0,
  "artifact_links": [],
  "extraction_scope": "official_feed_metadata",
  "full_text_available": false,
  "feed_provider": "Hugging Face",
  "id": "signal-e3ddd7a65cd3a566",
  "org": "Hugging Face",
  "topic": "Evaluation & safety",
  "source_kind": "primary_technical_publication",
  "status": "unreviewed-source-report",
  "analysis_method": "deterministic_research_triage_v2",
  "novelty_verified": false,
  "proof_checked": false,
  "peer_review_verified": false,
  "matched_terms": [
    "Evaluation & safety"
  ],
  "checked_at": "2026-10-31T19:32:55+00:00",
  "first_seen": "2026-10-31T19:32:55+00:00",
  "source_hash": "318717218adf00e5281f0fc5bec2ae10872ba5875a0be4cc17607224b51d4318",
  "source_url": "https://huggingface.co/blog/asr-benchmark-optimization",
  "language": "en",
  "indexing": "noindex_until_editorially_enriched"
}
