24 citations · 63 across the 14 of their papers we have counts for
14 papers
Feedback-Guided DNN-Based Controller Fusion for Robust Fixed-Parameter Active Noise Control
Lu Bai, Yiming He, Xiaofeng Nan +2
In active noise control (ANC) systems, adaptive approaches may suffer from instability or divergence, limiting their practical deployment. Consequently, fixed-parameter controllers…
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…
Local spectral attention for full-band speech enhancement
Zhongshu Hou, Qinwen Hu, Kai Chen +1
Attention mechanism has been widely utilized in speech enhancement (SE) because theoretically it can effectively model the inherent connection of signal both in time domain and spe…
Attention does not guarantee best performance in speech enhancement
Zhongshu Hou, Qinwen Hu, Kai Chen +1
Attention mechanism has been widely utilized in speech enhancement (SE) because theoretically it can effectively model the long-term inherent connection of signal both in time doma…
Inference skipping for more efficient real-time speech enhancement with parallel RNNs
Xiaohuai Le, Tong Lei, Kai Chen +1
Deep neural network (DNN) based speech enhancement models have attracted extensive attention due to their promising performance. However, it is difficult to deploy a powerful DNN i…
Semi-blind source separation using convolutive transfer function for nonlinear acoustic echo cancellation
Guoliang Cheng, Lele Liao, Kai Chen +3
The recently proposed semi-blind source separation (SBSS) method for nonlinear acoustic echo cancellation (NAEC) outperforms adaptive NAEC in attenuating the nonlinear acoustic ech…
A two-stage full-band speech enhancement model with effective spectral compression mapping
Zhongshu Hou, Qinwen Hu, Kai Chen +1
The direct expansion of deep neural network (DNN) based wide-band speech enhancement (SE) to full-band processing faces the challenge of low frequency resolution in low frequency r…
DPCRN: Dual-Path Convolution Recurrent Network for Single Channel Speech Enhancement
Xiaohuai Le, Hongsheng Chen, Kai Chen +1
The dual-path RNN (DPRNN) was proposed to more effectively model extremely long sequences for speech separation in the time domain. By splitting long sequences to smaller chunks an…
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…
Efficient improvement of frequency-domain Kalman filter
Wenzhi Fan, Kai Chen, Jing Lu +1
The frequency-domain Kalman filter (FKF) has been utilized in many audio signal processing applications due to its fast convergence speed and robustness. However, the performance o…
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…