GFANC-RL: reinforcement learning-based generative fixed-filter active noise control

• Main Authors: Luo, Zhengding, Ma, Haozhe, Shi, Dongyuan, Gan, Woon-Seng
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Engineering; Reinforcement learning; Convolutional neural network
• Online Access: https://hdl.handle.net/10356/180662
• Institution: Nanyang Technological University

The recent Generative Fixed-filter Active Noise Control (GFANC) method achieves a good trade-off between noise reduction performance and system stability. However, labelling noise data for training the Convolutional Neural Network (CNN) in GFANC is typically resource-consuming. Even worse, labelling...