A robust Dual Predictive Line Acoustic Noise Cancellers
Why this work is in the frame
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Bibliographic record
Abstract
This paper proposes a robust adaptive algorithm for adjusting coefficients of an adaptive filter, which is used in active noise canceller (ANC). The filtered LMS algorithm, which is widely used in digital signal processing, is deployed to reduce the effect of acoustic interference in a noisy environment. In this paper the zero noise output of the proposed one and two stages dual predictive line ANC (DPL-ANC) algorithm, which could be deployed in underground communication system, is presented. A second DPL-ANC using voice activity detection (VAD) to control the updated filter coefficients is also proposed. Evaluation results with real-world underground and noisy speech data exhibit significant improvement on the convergence and the zero noise output of both proposed two stages DPL-ANC.
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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 | 0.000 | 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