7 citations · 13 across the 5 of their papers we have counts for
6 papers · 1 filter
WaveNet-Volterra Neural Networks for Active Noise Control: A Fully Causal Approach
Lu Bai, Mengtong Li, Siyuan Lian +2
Active Noise Control (ANC) systems are challenged by nonlinear distortions, which degrade the performance of traditional adaptive filters. While deep learning-based ANC algorithms…
Deep Learning-Based Approach for Identification and Compensation of Nonlinear Distortions in Parametric Array Loudspeakers
Mengtong Li, Tao Zhuang, Kai Chen +2
Compared to traditional electrodynamic loudspeakers, the parametric array loudspeaker (PAL) offers exceptional directivity for audio applications but suffers from significant nonli…
Nonlinear Residual Echo Suppression Based on Multi-stream Conv-TasNet
Hongsheng Chen, Teng Xiang, Kai Chen +1
Acoustic echo cannot be entirely removed by linear adaptive filters due to the nonlinear relationship between the echo and far-end signal. Usually a post processing module is requi…
U-net Based Direct-path Dominance Test for Robust Direction-of-arrival Estimation
Hao Wang, Kai Chen, Jing Lu
It has been noted that the identification of the time-frequency bins dominated by the contribution from the direct propagation of the target speaker can significantly improve the r…
Frequency domain TRINICON-based blind source separation method with multi-source activity detection for sparsely mixed signals
Zelin Wang, Jing Lu, Kai chen
The TRINICON ('Triple-N ICA for convolutive mixtures') framework is an effective blind signal separation (BSS) method for separating sound sources from convolutive mixtures. It mak…
RLS-Based Adaptive Dereverberation Tracing Abrupt Position Change of Target Speaker
Teng Xiang, Jing Lu, Kai Chen
Adaptive algorithm based on multi-channel linear prediction is an effective dereverberation method balancing well between the attenuation of the long-term reverberation and the der…