Bibliographic record
Abstract
Connected, acoustically coupled spaces are typically characterized by non-exponential decay with double or multiple slopes. In some cases, two volumes of different absorption characteristics are connected through an aperture that may be opened to vary the engagement between the two acoustics, e.g., the auditorium and the reverb chamber. In a large complex room, acoustic energy emanating from the source will simultaneously and sequentially engage a number of different volumes (regions), depending on how the space is physically laid out, and where the source and receiver are. The regions shape and exchange energy collectively. The listener’s overall room impression will be due to an overlayed mix of spatially and temporally distributed ambient responses reaching the listener or receiver position. In synthesis of complex acoustic spaces, we take a perceptual approach where we combine elements of measured spatial room impulse responses, divide them into meaningful temporal segments, shape their envelopes, and recombine these varied characteristics for multichannel convolution with a source. Different variants of processing the impulse responses create different perceptual outcomes, and a variety of aurally diverse spaces can be created for applications in virtual acoustics and immersive audio production. These perceptual approaches, balancing clarity and reverberation, will be discussed in this presentation.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".