Bibliographic record
Abstract
Microphone windscreens are used to attenuate wind noise.However, even in still air, windscreens have an impact due to the added impedance between the source and microphone.This impedance is not accounted for when the system is checked by the use of an acoustical calibrator or when used in the field.The proce dure for the characterization of the attenuation in still air has recently been addressed in ANSI SI. 17-2000 part 1.But to date, no commercial windscreens have been tested in accordance with that standard.One of the reasons may be because the precision of the procedure has not been determined, even though the results of a round robin and the results of the uncertainty determination are available.Some of the commonly used windscreens were tested in a small chamber approaching free-field conditions.The results of the tests of insertion loss from the non-standard method and those based on SI. 17 are presented here.It is shown that in some cases, the use of a windscreen can easily change the measurements using Type 1 instruments to Type 2 or worse.Without knowing information about a particular windscreen, the use of a windscreen in still air, can drastically change uncertainty of measurement.In moving air conditions can be expected to be even more severe. SOMMAIRELes crans de protections des microphones sont employs pour attnuer le bruit de vent.Mais mme en condition de vent faible, ces derniers ajoutent une impdance entre la source et le microphone qui n'est pas prise en compte lors de l'talonnage ou lors de l'utilisation sur le terrain.La procdure pour la caractrisa tion de l'attnuation sous condition de vent faible a t rcemment adress dans la partie 1 de la norme ANSI S 1.17-2000.Mais jusqu'ici, aucun cran de protection commercial n'a t vrifi selon les recom mandations du standard.En partie cause du fait que la prcision de la procdure n'a pas encore t dter mine.Les rsultats d'un round robin et de la dtermination des incertitudes sont disponibles.En attendant, nous avons test quelques modles d'utilisation courante et d'autres dans une petite chambre dont les carac tristiques acoustiques approchent celles du champ libre.Nous prsentons les rsultats des deux mthodes: pertes par insertion obtenues par notre mthode non standard, et ceux obtenues par la mthode standard AINSI S 1.17.Nous prouvons que, dans certains cas, l'utilisation d'un cran protecteur peut facilement changer la prcision de la mesure avec l'emploi d'instruments de type 1 en type 2 ou plus mauvais.L'emploi d'un cran protecteur en condition de faible vent sans la connaissance pralable des caractristique peut rigoureusement affecter l'incertitude de la mesure.Dans des condition de vent modr lev, nous anticipons des problmes encore plus graves.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".