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eess.AS2026

Direction-Preserving Active Noise Control with a Conditional Control-Filter Estimation Network

Ziyi Yang, Zhengding Luo, Boxiang Wang +2

Conventional active noise control (ANC) minimizes the total disturbance at the error microphone without distinguishing desired sound from noise. Direction-preserving ANC (DP-ANC) i…

eess.AS2026

Adaptive Momentum Enhanced Distributed Multichannel Active Noise Control for Faster Convergence under Communication Delays

Junwei Ji, Woon-Seng Gan, Boxiang Wang +2

Distributed multichannel active noise control (DMCANC) reduces the computational burden of centralized ANC systems by distributing processing tasks across multiple nodes, while req…

eess.AS2026

Spatial-Frequency Cued Generative Fixed-Filter Active Noise Control Based on Deep Learning in Reverberant Environments

Boxiang Wang, Haowen Li, Dongyuan Shi +4

Generative fixed-filter active noise control (GFANC) effectively attenuates noise with diverse frequency characteristics through the combination of sub control filters. However, it…

eess.AS2026

Transformer-based End-to-End Control Filter Generation for Active Noise Control

Ziyi Yang, Zhengding Luo, Yisong Zou +3

To address the limitations of existing Generative Fixed-Filter Active Noise Control (GFANC) methods, which rely on filter decomposition and recombination and require supervised lea…

eess.AS2026

A Stabilized Hybrid Active Noise Control Algorithm of GFANC and FxNLMS with Online Clustering

Zhengding Luo, Haozhe Ma, Boxiang Wang +3

The Filtered-x Normalized Least Mean Square (FxNLMS) algorithm suffers from slow convergence and a risk of divergence, although it can achieve low steady-state errors after suffici…

eess.AS2026

Distributed Multichannel Active Noise Control with Asynchronous Communication

Junwei Ji, Dongyuan Shi, Boxiang Wang +3

Distributed multichannel active noise control (DMCANC) offers effective noise reduction across large spatial areas by distributing the computational load of centralized control to…

eess.AS2026

Co-Initialization of Control Filter and Secondary Path via Meta-Learning for Active Noise Control

Ziyi Yang, Li Rao, Zhengding Luo +3

Active noise control (ANC) must adapt quickly when the acoustic environment changes, yet early performance is largely dictated by initialization. We address this with a Model-Agnos…

eess.AS2025

Acoustic Scene Classification Using CNN-GRU Model Without Knowledge Distillation

Ee-Leng Tan, Jun Wei Yeow, Santi Peksi +3

In this technical report, we present the SNTL-NTU team's Task 1 submission for the Low-Complexity Acoustic Scenes and Events (DCASE) 2025 challenge. This submission departs from th…