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Found 22 papers, 9 papers with code
Unsupervised learning based end-to-end delayless generative fixed-filter active noise control
Delayless noise control is achieved by our earlier generative fixed-filter active noise control (GFANC) framework through efficient coordination between the co-processor and real-time controller.
Description on IEEE ICME 2024 Grand Challenge: Semi-supervised Acoustic Scene Classification under Domain Shift
In addition, considering the abundance of unlabeled acoustic scene data in the real world, it is important to study the possible ways to utilize these unlabelled data.
Sub-band and Full-band Interactive U-Net with DPRNN for Demixing Cross-talk Stereo Music
This paper presents a detailed description of our proposed methods for the ICASSP 2024 Cadenza Challenge.
A Comprehensive End-to-End Computer Vision Framework for Restoration and Recognition of Low-Quality Engineering Drawings
Existing computer vision approaches for digitizing engineering drawings typically assume the input drawings have high quality.
Improved Efficient Two-Stage Denoising Diffusion Power System Measurement Recovery Against False Data Injection Attacks and Data Losses
Fortunately, the powerful generation ability of the denoising diffusion models can enable more precise measurement generation for power system data recovery.
Interactive Dual-Conformer with Scene-Inspired Mask for Soft Sound Event Detection
In this paper, we first propose an interactive dual-conformer (IDC) module, in which a cross-interaction mechanism is applied to effectively exploit the information from soft labels.
AudioLog: LLMs-Powered Long Audio Logging with Hybrid Token-Semantic Contrastive Learning
This paper presents AudioLog, a large language models (LLMs)-powered audio logging system with hybrid token-semantic contrastive learning.
Extracting Physical Causality from Measurements to Detect and Localize False Data Injection Attacks
They are sensitive to the violation of physical laws caused by FDIA, but tend to remain stable with the drift of system operating points.
Active Noise Control based on the Momentum Multichannel Normalized Filtered-x Least Mean Square Algorithm
Multichannel active noise control (MCANC) is widely utilized to achieve significant noise cancellation area in the complicated acoustic field.
Practical Active Noise Control: Restriction of Maximum Output Power
This paper presents some recent algorithms developed by the authors for real-time adaptive active noise (AANC) control systems.
Anti-noise window: Subjective perception of active noise reduction and effect of informational masking
Reviving natural ventilation (NV) for urban sustainability presents challenges for indoor acoustic comfort.
A Computation-efficient Online Secondary Path Modeling Technique for Modified FXLMS Algorithm
This paper proposes an online secondary path modelling (SPM) technique to improve the performance of the modified filtered reference Least Mean Square (FXLMS) algorithm.
MOV-Modified-FxLMS algorithm with Variable Penalty Factor in a Practical Power Output Constrained Active Control System
Practical Active Noise Control (ANC) systems typically require a restriction in their maximum output power, to prevent overdriving the loudspeaker and causing system instability.
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 processors forty years ago.
Real-time modelling of observation filter in the Remote Microphone Technique for an Active Noise Control application
The remote microphone technique (RMT) is often used in active noise control (ANC) applications to overcome design constraints in microphone placements by estimating the acoustic pressure at inconvenient locations using a pre-calibrated observation filter (OF), albeit limited to stationary primary acoustic fields.
Automatic Generation of Topology Diagrams for Strongly-Meshed Power Transmission Systems
This paper proposes an integrated framework for generating aesthetically-pleasing topology diagrams for power transmission systems.
A practical distributed active noise control algorithm overcoming communication restrictions
By assigning the massive computing tasks of the traditional multichannel active noise control (MCANC) system to several distributed control nodes, distributed multichannel active noise control (DMCANC) techniques have become effective global noise reduction solutions with low computational costs.
A Momentum Two-gradient Direction Algorithm with Variable Step Size Applied to Solve Practical Output Constraint Issue for Active Noise Control
Active noise control (ANC) has been widely utilized to reduce unwanted environmental noise.
Deep Generative Fixed-filter Active Noise Control
Due to the slow convergence and poor tracking ability, conventional LMS-based adaptive algorithms are less capable of handling dynamic noises.
A Hybrid SFANC-FxNLMS Algorithm for Active Noise Control based on Deep Learning
Owing to the effective combination of the two algorithms, experimental results show that the hybrid SFANC-FxNLMS algorithm can achieve a rapid response time, a low noise reduction error, and a high degree of robustness.
Performance Evaluation of Selective Fixed-filter Active Noise Control based on Different Convolutional Neural Networks
In comparison to conventional fixed-filter ANC methods, SFANC can select the pre-trained control filters for different types of noise.
Implementation of Multi-channel Active Noise Control based on Back-propagation Mechanism
However, open-source implementations of the multi-channel FxLMS (McFxLMS) and multi-channel FxNLMS (McFxNLMS) algorithm continue to be scarce.
