Bibliographic record
Abstract
Considerable theoretical research has been conducted in understanding the design constraints of horn speak ers.Further, the locations of horn speakers in reverberation rooms had been well researched.However, most of the research methods applied simple sinusoidal source functions (tones) to evaluate the design criteria of horn speakers.The understanding of the horn speaker behaviour, when band limited random noise signatures such as pink noise and white noise are used as input sources, is still not clear.A hyperbolic horn with cut off frequency of 70 Hz was used in a medium sized reverberation room to study the horn behaviour.Some of the basic questions to be studied were the influence of horn location on the cut-off frequency, as well as the influence of the horn location on the diffuse sound field in the reverberation room.In addition, the influ ence of the input sound source on the room sound levels was also studied.The results of the experiment are presented in this paper.r é s u m é D 'importantes recherches théoriques ont été menées pour comprendre les contraintes de conception des enceintes à pavillon.De même, l'emplacement des enceintes à pavillon dans les salles réverbérantes a été bien étudié.Cependant, la plupart des méthodes de recherche appliquaient de simples fonctions sinusoïdales (son pur) comme source pour évaluer les critères de conception d 'enceintes à pavillon.La compréhension du comportement des enceintes à pavillon quand des bruits aléatoires à bande limitée tels que le bruit rose ou le bruit blanc sont utilisés comme sources d'entrée n 'est pas encore clair.Un pavillon hyperbolique avec une fréquence de coupure de 70 Hz a été utilisé dans une salle réverbérante de taille moyenne afin d 'en étudier le comportement.Quelques-unes des questions fondamentales à étudier étaient l 'influence de l 'emplacement du pavillon sur la fréquence de coupure, ainsi que l 'influence de l 'emplacement du pavillon sur le champ acoustique diffus dans la salle réverbérante.Par ailleurs, l'influence de la source sonore d 'entrée sur les niveaux sonores dans la salle a également été étudiée.Les résultats de l 'expérimentation sont présentés dans cet article.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".