arrow
Return

Deep learning-based Generative Fixed-Filter Active Noise Control: Transferability and implementation

delete2025-08-22
delete0
PRE
AI
Z
Zhengding Luo
J
Junwei Ji
B
Boxiang Wang
D
Dongyuan Shi *
H
Haozhe Ma
W
Woon‐Seng Gan
DOI:10.1016/j.ymssp.2025.113207delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
• The deep learning-based GFANC method is implemented in a headphone. • The paper theoretically explains the transferability of GFANC. • Simulations and real-time experiments validate the transferability and effectiveness.
Keywords:
deep learning
GFANC
transferability
headphone
real-time experiments

Journal

Mechanical Systems and Signal Processing cover
Mechanical Systems and Signal Processing
IF:
8.9
Papers:
1.3W
Citations:
6.6W

Organization

N
Nanyang Technological University
Scholars:
4.9W
Papers: 4.8W
Citations: 8.1W
N
Northwestern Polytechnical University
Scholars:
4.6W
Papers: 3.7W
Citations: 5.3W
N
National University of Singapore
Scholars:
7.6W
Papers: 6.5W
Citations: 11.4W
researcher View more organizations
Cited Papers

Cited Papers

errShare
errSave
errShare
errSave
Nearest Kronecker product decomposition based multichannel filtered-x affine projection algorithm for active noise control
err2025-02-01
err0
PREAI
errLi, Lei; Wang, Shiyuan; Bhattacharjee, Sankha Subhra; Jensen, Jesper Rindom; Christensen, Mads Graesboll
errShare
errSave
Transferable Latent of CNN-Based Selective Fixed-Filter Active Noise Control
err2023-01-01
err13
PREAI
errShi, Dongyuan; Gan, Woon-Seng; Lam, Bhan; Luo, Zhengding; Shen, Xiaoyi
errShare
errSave
errShare
errSave
Selective fixed-filter active noise control based on convolutional neural network
err2022-01-01
err47
PREAI
errShi, Dongyuan; Lam, Bhan; Ooi, Kenneth; Shen, Xiaoyi; Gan, Woon-Seng
errShare
errSave
researcher View more