Compensatory responsesto real-time perturbation of visual feedback during vowel production
Bibliographic record
Abstract
Experimental setup -A virtual animated avatar was developed in Unity 3D and presented with an Oculus Rift virtual reality head-mounted display (HMD).-An Optotrak Certus 3020 was used to track head and lips movements of the participants and animate their avatar in real-time.-Lip opening (for /a/), lip protrusion (for /u/) and lip stretching (for /i/) were gradually scaled down.Data analysis (results of /a/ and /u/ are reported here) -For each participant, vowel and trial, ratio of lip opening and lip protrusion relative to the baseline; -3 groups of participants depending on the values of the ratios in the Hold phase: compensators (ratios > 1.05), resistants (0.95 < ratios < 1.05) and followers (ratios < 0.95); -Linear mixed effects models built ratios, with group (compensators, resistants, followers), phase (base, ramp, hold, psot), and vowel (/i/, /a/, /u/) as fixed effects and speaker as a random effect.Our objective was to examine the effect of visually perceived self-produced lip movements on the control of the vowels /i/, /a/ and /u/, using a real-time self-avatar.
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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) | 0.003 | 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".