Conversational speech intensity under different noise conditions in hypophonia and parkinson's disease
Why this work is in the frame
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Bibliographic record
Abstract
The three types of background noise on conversational speech intensity in individuals with hyperphonia and Parkinson's Diseases (PD), are discussed. Researces on PD subjects show that a Lombard relationship exists along with the control subject that may be related to a number of factors such as the severity of hypophonia, the type of background noise, the noise levels, the speech tasks, and the method of stimulus presentation. The subjects with PD are stabilized on their anti-Parisian medication and are tested at about one hour after their regular medication. Two separate two-factors repeated measures ANOVAs are used to examine the effects of each noise type on speech intensity. For each noise type, the group x noise level interaction is insignificant that reveals very few significant differences. The positive relationship between speech intensity and background noise is approximately parallel to that of controls.
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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) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it