Validating a new approach for predicting the degree of speech security
Bibliographic record
Abstract
The new method of estimating the speech security of meeting rooms first predicts transmitted speech levels at spot positions 0.25 m from the outside boundaries of a meeting room. The degree of speech security at each spot measurement position is related to this transmitted speech level and to the ambient noise level at the same location. This information can be used to calculate new signal/noise ratio measures that indicate the degree of speech security [J. Acoust. Soc. Am. 116(6), 3480–3490 (2004)]. The values of these indices will indicate whether speech will be audible or intelligible, and to what degree. This paper reports validation studies of the prediction of transmitted speech levels at points 0.25 m outside the meeting room, and the effects of varied room absorption on these predicted levels. It also reports on subjective evaluations of the transmitted speech sounds, in terms of the audibility and intelligibility of the transmitted speech, to validate expected judgments in realistic acoustical conditions.
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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 | 0.007 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".