Fluctuating accent in foreign accent syndrome: A case study.
Bibliographic record
Abstract
Foreign accent syndrome (FAS) is a rare acquired neurogenic speech disorder characterised by the emergence of an accented speech. The aim of this study is to describe the speech characteristics of LK, a FAS speaker who also shows fatigue and cognitive difficulties. Perceptual as well as acoustic analyses show that LK’s speech characteristics are comparable to those found in the literature, but also to those of speakers with apraxia of speech (AOS). The cognitive assessment shows that LK presents with deficit in inhibition control whereas other executive functions and short-term/working memory are unimpaired. Acoustic analyses show that speech characteristics enabling the detection of a foreign accent were intensified with tiredness. Moreover, agrammatism emerges in spontaneous speech with tiredness. This speaker, unlike AOS ones, would be able to use compensatory mechanisms in order to maintain appropriate phonological contrasts. With tiredness, this ability declines and FAS characteristics exacerbate.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".