Modelling vowel inherent spectral change in spontaneous speech
Bibliographic record
Abstract
A study that was conducted to examine the vowel productions in a corpus of spontaneous speech is presented. Several alternate accounts of the nature of VISC in speech production are also briefly discussed. Research on vowel identification has suggested that the onset+offset hypothesis best captures the perceptual cues listeners use. Studies on the production of vowels in careful citation speech have added to this theory with models that include vowel duration and pitch. On the plots, the arrow indicates the average vowel offset and the labeled end represents the average vowel onset. The linear VISC movement shown is gathered from the onset+offset model. It is notable that even though the vowel spaces differ between males and females, the trends in VISC movement remain the same. Most studies on vowel identification make use of a onset+offset theoiy of VISC, with the data here point to the discriminative importance of this hypothesis in spontaneous speech productions.
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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) | 0.002 | 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; both teacher heads agree on what is shown here.
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".