Beamforming for a microphone array embedded in asymmetrically shaped objects
Bibliographic record
Abstract
Broadband frequency invariant beamforming for circular arrays or linear arrays are quite common but not when they are embedded in a diffracting structure. Meyer [J. Acoust. Soc. Am. 109, 185–193 (2001)] describes arrays embedded in a diffracting sphere, and provides an analytical solution for the wave equation in acoustics. For arrays of simple shape like circular rings embedded in a more complex shape one must make use of numerical methods (e.g., boundary element methods). Microphone arrays in shapes that are not symmetric or axisymmetric can also be solved this way but result in very asymmetrical beams. One example of such an obstacle is a telephone incorporating a microphone array. This presentation will show results from simulations and measurements of a six-microphone array. A design approach to obtain reasonably well behaved beams relies on constrained optimization, with a constraint build using a set of vectors containing the sensor signal for acoustic waves with specific directions of arrival. [Work supported in part by Carleton University.]
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".