Synthèse vocale : une technologie adaptée au service des personnes ayant une déficience visuelle
Bibliographic record
Abstract
Au moment où l’information sous forme électronique tend à se rapprocher des gens par l’entremise, par exemple, de réseaux informatiques comme Internet, des barrières continuent de se dresser entre l’information et les personnes ayant une déficience visuelle. Le développement fulgurant des nouvelles technologies de l’information a permis l’apparition de technologies adaptées destinées notamment à accroître l’autonomie des personnes déficientes ayant des besoins spéciaux pour accéder à l’information. Le présent article s’attarde spécifiquement à une de ces technologies, la synthèse vocale, en mettant l’emphase sur le contexte technologique et social de sa création, sur son fonctionnement et ses composantes et finalement sur son application dans la vie courante et dans les milieux documentaires.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.021 | 0.004 |
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".