Evaluation of an Indoor Open Space’s Acoustical Quality – A Case Study
Bibliographic record
Abstract
In this paper, selected acoustical parameters were used to evaluate the acoustical qualityof an indoor open space. The parameters included the sound pressure level, reverberationtime, and speech transmission index. The selected parameters were also used to calibrateand verify the accuracy of an indoor acoustic model. Next, room treatment measureswere incorporated into the model, for the purposes of improving the test space’sacoustical quality. The revised acoustic model showed the room treatments were effectiveat improving the space’s acoustical quality and confirmed the effectiveness of using thecalibrated acoustic model process. The playback of the convolved audio signaldemonstrated a reduction in the reverberation time and improvement with speechintelligibility. This paper demonstrates that the acoustical model can be used in themodelling of other spaces such as open-plan offices and industrial facilities. Acousticaltreatments, if required, can be verified in the model.Keywords: room acoustics, impulse, reverberation, speech transmission index, CadnaR.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".