Binaural Headphone Monitoring to Enhance Musicians’ Immersion in Performance
Why this work is in the frame
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Bibliographic record
Abstract
Musicians face challenges when using stereo headphones to perform with one another, due to a lack of audio intelligibility and the loss of their usual benchmarks. Also, high levels of click tracks in headphone mixes hinder performance subtleties and harm performers’ aural health. This chapter discusses the approaches and outcomes of eight case studies in professional situations that aimed at comparing the experiences of orchestra conductors and instrumentalists while monitoring their performances through binaural versus stereo headphones. These studies assessed three solutions combining augmented and mixed reality technologies that include binaural with head tracking to conduct a large film-scoring orchestra and jazz symphonic with a click track; binaural without head tracking to improvise in trio or on previously recorded takes in the studio; and active binaural headphones to record diverse genres on a click track or soundtrack. Findings concur to show that better audio intelligibility and recreated natural-sounding acoustics through binaural rendering enhance performers’ listening comfort, perception of a realistic auditory image, and musical expression and creativity by increasing their feeling of immersion. Findings also demonstrate that the reduction of source masking effects in binaural versus stereo headphone mixes enables performers to monitor less click track, and therefore protect their creative experience and aural health.
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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 | 0.000 | 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 | 0.002 | 0.001 |
| 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 it