Virtual acoustic reproduction of historical spaces for interactive music performance and recording
Bibliographic record
Abstract
For the most authentic and successful musical result, a performer engaged in recording pianoforte pieces of Haydn needs to hear the instrument as it would have sounded in historically typical room reverberation, such as that of the original room’s in which Haydn taught his students to play pianoforte. After capturing the acoustic response of such historical room’s, as described in the companion presentation, there remains the problem of how best to reproduce the virtual acoustical response of the room as a performer moves relative to the instrument and the rooms boundaries. This can be done with a multichannel loudspeaker array enveloping the performer, interactively presenting simulated indirect sound to generate a sense of presence in the previously captured room. The resulting interaction between live musical instrument performance and the sound of the virtual room can be captured both binaurally for the performer’s subsequent evaluation, readjusted to provide the most desirable acoustic feedback to the performer, and finally remixed for distribution via conventional 5.1 channel audio media.
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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 | 0.001 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".