Extension de bande paramétrique pour les signaux audio de parole et de musique
Bibliographic record
Abstract
Dans le domaine du codage audio, l’utilisation d’une extension de bande paramétrique pour encoder les hautes fréquences permet une économie de débit. Contrairement à la majorité des méthodes d'extension de bande qui effectuent leur traitement dans le domaine temporel, le traitement proposé dans ce mémoire s’effectue dans le domaine fréquentiel pour créer une extension de bande audio de 8 à 16 kHz sur les signaux monophoniques de parole et de musique. Le projet de maîtrise étudie plusieurs éléments : les techniques de régénération des hautes fréquences, l'utilisation du cepstre pour le calcul et la représentation de l'enveloppe spectrale, ainsi que des techniques d’amélioration de la dynamique du spectre. Les résultats de tests subjectifs formels montrent un gain sur certaines catégories de signaux par rapport au codec AMR-WB+, lequel est reconnu comme étant un standard international développé à l'Université de Sherbrooke.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.005 |
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".