{
  "schema": "vedokrok.public-item.v1",
  "release_id": "MHC-RPUB-20261011-9e4b62c5",
  "url": "/knowledge/turn-an-asr-mismatch-into-a-correction-loop",
  "id": "MHC-D-RESEARCH-9193",
  "version": "0.2.0",
  "title": "Turn an ASR mismatch into a correction loop",
  "summary": "Use the signal to find the target; do not mistake it for the diagnosis.",
  "kind": "protocol",
  "body": "A transcript mismatch can tell you where to look, but it rarely explains what your mouth or timing did differently. Isolate one short target, compare it with a reliable model, and prefer feedback that names the sound or feature to change. Then produce the target again inside a different sentence. The useful loop is signal -> diagnosis -> correction -> new production, not repeated attempts to make one app turn green.",
  "limits": [
    "ASR can misrecognize correct speech and can accept imperfect speech. Treat one transcript or score as evidence to investigate, not as a verdict on pronunciation or intelligibility."
  ],
  "topics": [
    "union-language-asr-pronunciation-feedback"
  ],
  "intents": [],
  "evidence": [
    {
      "claim": "A meta-analysis of 15 ASR pronunciation studies reported a medium overall effect (Hedges' g = 0.69) compared with non-ASR conditions, with substantial heterogeneity across studies.",
      "role": "supports",
      "note": "The synthesis covered ESL/EFL pronunciation studies published through 2021 and does not establish that every ASR system or feedback design is effective.",
      "locator": "Abstract; Results 4.1",
      "source_id": "RS-3A03409139B602294FD0"
    },
    {
      "claim": "In moderator analyses, studies using explicit corrective ASR feedback had a larger pooled effect than studies using indirect feedback such as dictation or simple recognition output.",
      "role": "supports",
      "note": "This is a between-study moderator result, not a randomized head-to-head estimate that isolates feedback type from every other design difference.",
      "locator": "Results 4.1; Discussion 5.2",
      "source_id": "RS-3A03409139B602294FD0"
    },
    {
      "claim": "A 2025 research review notes that transcription errors and opaque pronunciation scores can flag a problem without explaining its pattern or how to improve it, while explicit phonemic feedback is more diagnostic.",
      "role": "supports",
      "note": "The review describes feedback affordances and evidence trends; it is not a product-by-product accuracy evaluation.",
      "locator": "Automatic feedback discussion",
      "source_id": "RS-2A008082BD608544EDFD"
    }
  ],
  "use_when": [
    "A speech-recognition tool mistranscribes you, gives a low pronunciation score or marks a word as wrong."
  ],
  "avoid_when": [
    "ASR can misrecognize correct speech and can accept imperfect speech. Treat one transcript or score as evidence to investigate, not as a verdict on pronunciation or intelligibility."
  ],
  "example": "An English learner keeps getting 'three' transcribed as 'tree'. Instead of repeating the same phrase ten times, they isolate /θ/, compare tongue position with a model, then use the word in three new sentences.",
  "check": "The same target is produced reliably in changed sentences, not only in the app's original exercise.",
  "source_ids": [
    "RS-3A03409139B602294FD0",
    "RS-2A008082BD608544EDFD"
  ],
  "published_at": "2026-10-01T14:27:00Z",
  "steps": [
    "Mark the exact word or sound that triggered the mismatch.",
    "Check the target against a reliable audio model.",
    "Use explicit feedback when available: which sound, stress or articulation changed?",
    "Produce it again in a new sentence rather than only repeating the original prompt.",
    "Keep the change only if recognition and your own comparison become more stable."
  ],
  "editorial_overlay": null,
  "editorial": null,
  "notices": [],
  "sources": [
    {
      "id": "RS-3A03409139B602294FD0",
      "title": "The effectiveness of automatic speech recognition in ESL/EFL pronunciation: A meta-analysis",
      "url": "https://doi.org/10.1017/S0958344023000113"
    },
    {
      "id": "RS-2A008082BD608544EDFD",
      "title": "Automatic speech recognition and pronunciation learning",
      "url": "https://doi.org/10.1017/S0261444825100852"
    }
  ],
  "relations": [
    {
      "from": "MHC-D-RESEARCH-9193",
      "to": "MHC-D-RESEARCH-1135",
      "type": "useful_with",
      "url": "/knowledge/train-the-ear-before-forcing-a-stubborn-sound"
    }
  ],
  "collections": [
    {
      "id": "RC-5FA9095B7B870961852E",
      "title": "Use speech recognition as targeted pronunciation feedback",
      "url": "/collections/use-speech-recognition-as-targeted-pronunciation-feedback"
    }
  ],
  "topic_hubs": [],
  "solution_packs": []
}