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Record W2036968582 · doi:10.1044/1058-0360(2001/025)

A Description of Phonetic, Acoustic, and Physiological Changes Associated With Improved Intelligibility in a Speaker With Spastic Dysarthria

2001· article· en· W2036968582 on OpenAlexaff
Nelson Roy, Herbert A. Leeper, Michael Blomgren, Rosalea Cameron

Bibliographic record

VenueAmerican Journal of Speech-Language Pathology · 2001
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsWestern University
Fundersnot available
KeywordsDysarthriaIntelligibility (philosophy)AudiologyPsychologyPerceptionSpasticCerebral palsyMedicineNeuroscience

Abstract

fetched live from OpenAlex

Spastic dysarthria is a motor speech disorder produced by bilateral damage to the direct (pyramidal) and indirect (extrapyramidal) activation pathways of the central nervous system. This case report describes the recovery of an individual with severe spastic dysarthria and illustrates the close relationship between intelligibility measures and acoustic and physiological parameters. Detailed phonetic feature analyses combined with acoustic and physiological information helped to clarify (a) the loci of the intelligibility deficit, (b) the features of deviant speech whose improvement would lead to the greatest gains with treatment, and (c) the changes contributing to improvement in intelligibility observed over a 30-month treatment/recovery period. Though auditory-perceptual analysis remains the foundation of day-to-day dysarthria assessment, this case illustrates the potential for instrumental assessment to (a) supplement perceptual assessment techniques, (b) parse speech subsystem deficits, and (c) track the effects of interventions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.793
Threshold uncertainty score0.624

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.029
GPT teacher head0.308
Teacher spread0.279 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations21
Published2001
Admission routes1
Has abstractyes

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