Measurements of sound leaks or ‘‘hot spots’’ and their effect on the architectural speech security of closed rooms
Bibliographic record
Abstract
A new measurement procedure has been developed that accurately indicates the degree of speech security (speech privacy) of a closed office or meeting room. The procedure first determines the attenuation from an average sound-pressure field within a source room to single receiving points outside the room. These average-to-spot attenuations are used to predict transmitted speech levels outside of meeting rooms, which along with the background noise levels are used to derive a reliable indicator of the audibility or intelligibility of speech at the receiving points. A key aspect of the approach is that a localized weak spot in an otherwise highly insulating partition can be identified and assessed. Investigations were carried out as to the severity and detectability of different types of sound leaks intentionally introduced into an otherwise ‘‘good’’ wall separating two reverberation chambers. Steady-state and impulse response measurements of received pressure were made at a distance of 0.25 m from the wall. In addition, a highly directional beamforming microphone array was used in an effort to quickly locate the position of potential leaks. An overview of the measurement procedures will be presented, including discussion of the severity of several types of ‘‘hot spots,’’ such as holes, penetrations, and electrical boxes.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".