Huntington Disease Automatic Speech Recognition with Biomarker Supervision | Signal Canvas | ScienceToStartup

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Huntington Disease Automatic Speech Recognition with Biomarker Supervision

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Proof freshness: stale
Proof status: unverified
Display score: 8/10
Last proof check: 2026-04-02
Score updated: 2026-04-02
Score fresh until: 2026-05-02
References: 0
Source count: 0
Coverage: 17%

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Huntington Disease Automatic Speech Recognition with Biomarker Supervision

Canonical ID huntington-disease-automatic-speech-recognition-with-biomarker-supervision | Route /signal-canvas/huntington-disease-automatic-speech-recognition-with-biomarker-supervision

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/huntington-disease-automatic-speech-recognition-with-biomarker-supervision

MCP example

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  }
}

source_context

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  "paper_ref": "huntington-disease-automatic-speech-recognition-with-biomarker-supervision",
  "topic_slug": null,
  "benchmark_ref": null,
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}

Paper mode· single-doc scopescope: huntington-disease-automatic-speech-recognition-with-biomarker-supervision

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Claim map

Strong 8Mixed 0Weak 0

Evidencepartial
HD speech induces architecture-specific error regimes, with Parakeet-TDT outperforming encoder-decoder and CTC baselines.
Implicationpartial
Directly stated in abstract with comparative analysis of ASR families
Verificationpartial
partial
Evidencepartial
HD-specific adaptation reduces WER from 6.99% to 4.95%
Implicationpartial
Explicitly stated with precise numeric results
Verificationpartial
partial
Evidencepartial
we also propose a method for using biomarker-based auxiliary supervision
Implicationpartial
Directly stated as a proposed method in the abstract
Verificationpartial
partial
Evidencepartial
analyze how error behavior is reshaped in severity-dependent ways rather than uniformly improving WER
Implicationpartial
Directly stated in abstract but requires some interpretation of 'reshaped'
Verificationpartial
partial
Evidencepartial
using a high-fidelity clinical speech corpus not previously used for end-to-end ASR training
Implicationpartial
Explicitly stated as a novel aspect of the research
Verificationpartial
partial
Evidencepartial
Automatic speech recognition (ASR) for pathological speech remains underexplored, especially for Huntington's disease
Implicationpartial
Directly stated as context but represents a general research gap rather than a specific finding
Verificationpartial
partial
Evidencepartial
irregular timing, unstable phonation, and articulatory distortion challenge current models
Implicationpartial
Directly stated as specific challenges but represents background knowledge rather than new finding
Verificationpartial
partial
Evidencepartial
We compare multiple ASR families under a unified evaluation, analyzing WER as well as substitution, deletion, and insertion patterns.
Implicationpartial
Explicitly stated as part of the systematic study methodology
Verificationpartial
partial