PRIME-ANC: Path-Ratio-Informed Modeling for Efficient Neural Filter Synthesis in Active Noise Control

arXiv:2609.31772 · eess.AS, cs.AI, cs.SD, cs.SY, eess.SP, eess.SY · Submitted 2026-09-24 · Read on arXiv

eess.AS, cs.AI, cs.SD, cs.SY, eess.SP, eess.SY

Submitted: 2026-09-24

Updated: 2026-09-24

Code: https://github.com/CCF2026ANC/CCF_DEEPANC_2026

Terminology

• Adaptation — 7× in this paper · explained in 1 episode
• Core — 7× in this paper · explained in 2 episodes
• Meta-learning — 5× in this paper · explained in 2 episodes
• Calibration — 3× in this paper · explained in 7 episodes
• Model-Agnostic — 3× in this paper · explained in 2 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Adam — 2× in this paper · explained in 2 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Diverse Environments Multi-channel Acoustic Noise Database — 1× in this paper
• Transferability — 1× in this paper · explained in 4 episodes

Sources

• Robust Soft-Constrained Spatially Selective Active Noise Control for Hearables Under Secondary Path Variations
• Transformer-based End-to-End Control Filter Generation for Active Noise Control

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