Experimental evaluation of vehicle cabin noise using subjective and objective psychoacoustic analysis techniques
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Given the automotive industry's awareness of the importance of the perception of noise, vibration and harshness (NVH) emissions, there is an increased focus on the sound quality of automotive vehicle cabin noise.Psychoacoustic analysis using acoustic pressure measurements taken inside the vehicle cabin was performed.Suspension vibration measurements from several structural positions were also taken to evaluate vibration excitations.The goal was to be able to predict the psychoacoustic impact at the driver's ear position using the suspension vibration data measured outside the vehicle.Using the vibration data, it was possible to evaluate the transfer path of the excitation energy into the vehicle cabin.Using this, a correlation between the predicted in-cabin psychoacoustic results using the outside vibration measurement data and the direct psychoacoustic calculations from the in-cabin noise measurements was proven possible with some inherent limitations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 it