Practical design and assessment of architectural speech privacy for closed rooms
Bibliographic record
Abstract
Practical procedures have been developed for predicting levels of speech privacy associated with closed meeting rooms. The procedures can be used to specify construction designs for rooms intended to provide desired levels of speech privacy. They can also be used for measurement, assessment, and rating of existing rooms. The new approach relates the predicted or measured sound insulation provided by the wall construction directly to the probability that speech will be audible or intelligible to bystanders outside a room. The audibility or intelligibility of speech depends on the relative levels of speech and background noise at the listeners position and can therefore be determined from the speech level inside the room, the sound insulation, and the noise level at the listening position. However, speech and noise levels vary from moment to moment. The measured statistics of these variations can be used to predict the probability that speech will be audible or intelligible outside the room. Wall constructions having higher sound insulation will result in lower probabilities of speech being overheard, and therefore correspond to higher degrees of speech privacy.
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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 | 0.002 | 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 | 0.001 |
| 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".