What is behind the meta-learning initialization of adaptive filter?—a naive method for accelerating convergence of adaptive multichannel active noise control
Active noise control (ANC) is a typical signal-processing technique that has recently been
utilized extensively to combat the urban noise problem. Although numerous advanced …
utilized extensively to combat the urban noise problem. Although numerous advanced …
Active noise control in the new century: The role and prospect of signal processing
Since Paul Leug's 1933 patent application for a system for the active control of sound, the
field of active noise control (ANC) has not flourished until the advent of digital signal …
field of active noise control (ANC) has not flourished until the advent of digital signal …
Low-latency active noise control using attentive recurrent network
Processing latency is a critical issue for active noise control (ANC) due to the causality
constraint of ANC systems. This paper addresses low-latency ANC in the context of deep …
constraint of ANC systems. This paper addresses low-latency ANC in the context of deep …
Gfanc-rl: Reinforcement learning-based generative fixed-filter active noise control
Abstract The recent Generative Fixed-filter Active Noise Control (GFANC) method achieves
a good trade-off between noise reduction performance and system stability. However …
a good trade-off between noise reduction performance and system stability. However …
[PDF][PDF] HAD-ANC: A Hybrid System Comprising an Adaptive Filter and Deep Neural Networks for Active Noise Control
JP Park, JH Choi, Y Kim… - Proceedings of the Annual …, 2023 - scholar.archive.org
Our study proposes a novel hybrid active noise control (ANC) system, called HAD-ANC, that
combines an adaptive filter with deep neural networks. HAD-ANC employs a cascade …
combines an adaptive filter with deep neural networks. HAD-ANC employs a cascade …
A Hybrid Deep-Online Learning Based Method for Active Noise Control in Wave Domain
The traditional feedback Active Noise Control (ANC) algorithms are built upon linear filters,
which leads to reduced performance when dealing with real-world noise. Deep learning …
which leads to reduced performance when dealing with real-world noise. Deep learning …
ACTIVE AUDIO CANCELLATION WITH MULTI-BAND
M NETWORK - openreview.net
A novel deep learning approach for Active Audio Cancellation (AAC) is presented, which
surpasses traditional Active Noise Cancellation (ANC) by effectively canceling any audio …
surpasses traditional Active Noise Cancellation (ANC) by effectively canceling any audio …