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    "headline": "Speech Interfaces Got a Common Information Scale",
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    "dek": "Open-vocabulary mutual information compares neural speech decoders even when their datasets, vocabularies and recording setups differ.",
    "summary": "Open-vocabulary mutual information compares neural speech decoders even when their datasets, vocabularies and recording setups differ.",
    "body_text": "Accuracy and word error rate can overstate communication when they score only the words a brain-computer interface already supports. OVMI instead measures conveyed information against a reference distribution of what a user may wish to say, putting coverage and decoding accuracy on the same scale. Applied to existing systems, it exposed vocabulary tradeoffs and found that selecting a vocabulary to maximize OVMI improved accuracy by as much as 16.3% across three speech domains.",
    "why_it_matters": "Open-vocabulary mutual information compares neural speech decoders even when their datasets, vocabularies and recording setups differ.",
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      "Accuracy and word error rate can overstate communication when they score only the words a brain-computer interface already supports."
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    "tags": [
      "brain-computer interfaces",
      "speech decoding",
      "evaluation"
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      "source_id": "source-2026-09-03-016",
      "title": "arXiv preprint 2609.02887",
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