7 citations · 13 across the 3 of their papers we have counts for
6 papers
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…