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

delete2025-08-22
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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
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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:
7.5W
Papers: 6.4W
Citations: 11.4W
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