Binaural Characterization of Active Noise Cancelling Headphones
Bibliographic record
Abstract
Active noise cancelling (ANC) headphones have traditionally been used to protect hearing or to reduce the masking of noise on a desired signal and in these applications the primary goal is to maximize noise attenuation. Increasingly ANC headphones are being used for general sound control, to reduce noise-induced stress, and to aid focus and concentration. In these situations, the quality and naturalness of the remaining sound becomes more important as there is often no desired playback signal to mask artifacts. Fluctuating noise levels or differences in processing between channels can create distracting artifacts or distort the binaural cues used for sound localization and situational awareness. In this work we propose using a binaural measurement apparatus to characterize the uncancelled residual noise measured inside the cavity of ANC headphones. We evaluate total noise reduction, residual noise quality, and preservation of binaural cues. We validate the approach using representative consumer circumaural (over-ear) ANC headphones. Results show similar levels of attenuation and good subjective noise quality for both low-cost and premium devices. Distortion of low frequency time and level difference cues was observed for high cancellation levels, additional work is needed to quantify the impact of these distortions on localization.
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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 | 0.000 | 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 | 0.000 | 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".