A Novel Hemispherical Array Sound Source Localization
Bibliographic record
Abstract
In this paper we present a novel signal processing algorithm and array for sound source localization in an enclosed area. This method, which has some similarity to the human eye structure, consists of a novel hemispherical microphone array with microphones on the shell and one microphone in the sphere center. A signal processing scheme utilizes parallel creation of a special closeness functions for each microphone direction on the shell. The closeness functions have output values that are linearly proportional to spatial angular difference between the sound source direction and each of the shell microphone directions, in close vicinity of them. Finally by choosing directions corresponding to the highest closeness function values and implementing a linear weighted spatial averaging on those directions we estimate the sound source direction. Contrary to traditional algorithmic sound source localization techniques, our method is based on some simple parallel mathematical calculations in the time domain; therefore it can be easily implemented on a custom designed integrated circuit
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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".