Effects of acoustic interaction between the subglottic and supraglottic cavities of the human phonatory system
Bibliographic record
Abstract
The purpose of this work, is to describe the effects of the coupling of the subglottic and supra glottic cavities of the human phonatory apparatus. For this, we will determine and use the transfer function of the vocal tract evaluated owing to an exploration of the human phonatory system using an external excitation using a pseudorandom sequence; this method was developed by Djeradi et. al. 1991. This evaluation will be carried out on the basis of the following three conditions of the glottis: open glottis, closed glottis and variable glottis. One of the advantages of this method will be used, indeed, it is possible, at the time of the same expiry phase that corresponding to a sustained articulatory configuration, to record the signal of the sound itself and the useful signal for the measurement of the transfer function. The comparison of the various spectral data thus obtained highlights the subglottic effects of coupling on the one hand and shows that the conditions at the glottis have an influence on the resonances of the supraglottic cavities on the other hand. This enabled us highlight an increase in the value of the resonance frequencies, of the band-widths and a modification of the deviation between the resonances of the vocal tract. We have also noted the appearance of additional resonances peaks that can correspond to subglottic cavities During the second phase, we reproduced these effects by simulations on geometrical configurations obtained by the X- rays method performed on the same person and for the same configurations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| 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 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".