Real-time implementation and explainable AI analysis of delayless CNN-based selective fixed-filter active noise control

• Main Authors: Luo, Zhengding, Shi, Dongyuan, Ji, Junwei, Shen, Xiaoyi, Gan, Woon-Seng
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Engineering; Delayless noise control; Convolutional neural network
• Online Access: https://hdl.handle.net/10356/179403
• Institution: Nanyang Technological University

The selective fixed-filter active noise control (SFANC) approach can select suitable pre-trained control filters for different types of noise. With the learning ability of convolutional neural network (CNN), the CNN-based SFANC method can automatically learn its parameters from noise data. Combining...