6 papers
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…
Directional Selective Fixed-Filter Active Noise Control Based on a Convolutional Neural Network in Reverberant Environments
Boxiang Wang, Zhengding Luo, Haowen Li +4
Selective fixed-filter active noise control (SFANC) is a novel approach capable of mitigating noise with varying frequency characteristics. It offers faster response and greater co…
DOA Estimation with Lightweight Network on LLM-Aided Simulated Acoustic Scenes
Haowen Li, Zhengding Luo, Dongyuan Shi +4
Direction-of-Arrival (DOA) estimation is critical in spatial audio and acoustic signal processing, with wide-ranging applications in real-world. Most existing DOA models are traine…
A Robust Proactive Communication Strategy for Distributed Active Noise Control Systems
Junwei Ji, Dongyuan Shi, Zhengding Luo +4
Distributed multichannel active noise control (DMCANC) systems assign the high computational load of conventional centralized algorithms across multiple processing nodes, leveragin…
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…
Joint Feature and Output Distillation for Low-complexity Acoustic Scene Classification
Haowen Li, Ziyi Yang, Mou Wang +4
This report presents a dual-level knowledge distillation framework with multi-teacher guidance for low-complexity acoustic scene classification (ASC) in DCASE2025 Task 1. We propos…