Application d’un maillage structuré non uniforme dans un modèle de guide d’ondes numérique tridimensionnel du tractus vocal
Bibliographic record
Abstract
For accurate modelling of the vocal tract, higher dimensional digital waveguide modeling is being used successfully with the structured and uniform grid of the same delay lines. The current work extends the standard methodology in the three-dimensional digital waveguide model using the structured and non-uniform mesh. In the previous work, the delay lines were the same due to uniform grid orientation. However, the current work typically introduces two specific types of delay lines coded with smaller- and larger-delay lines. To eliminate fractional delay for the transfer function of the vocal tract, the larger-delay line is generated by considering the double of the smaller-delay line. This approach also performs efficient simulations of wave propagation in a digital three-dimensional waveguide model of the vocal tract. In this work, the non-uniform rectilinear grid is generated by using the blend of larger- and smaller-delay lines with the various combinations in the directional axes. For example, the larger-delay lines may be operated solely along the x-axis, while the smaller-delay lines are used in the y- and z-axes. Another example may be taken by the using of larger-delay lines in both x- and y-axes and smaller-delay lines in the z-axis. For the practical demonstration of the present work, the vowels /ɔ/ and /ɑ/ have been taken for the simulations and comparison has been given by the standard three-dimensional digital waveguide model which is considered our benchmark model.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".