May 15, 2020 · In this paper, we propose a residual echo suppression method based on the modification of fully convolutional time-domain audio separation network (Conv-TasNet ...
In this paper, we modify the Conv-TasNet to effectively exploit the multiple streams created from the residual signal of LAEC and the output of the adaptive ...
Sep 7, 2021 · In this paper, we propose a residual echo suppression method based on the modification of dual-path recurrent neural network (DPRNN) to improve the quality of ...
Benefiting from the powerful nonlinear system modeling ability of DNNs, these methods can simultaneously cancel all the interference signals and directly ...
May 15, 2020 · Both the residual signal of the linear acoustic echo cancellation system, and the output of the adaptive filter are adopted to form multiple ...
Some samples of simulations described in ''Nonlinear Residual Echo Suppression Based on Multi-stream Conv-TasNet'' - Mo-yun/tasnetmi-samples.
Oct 22, 2024 · In this paper, we propose a residual echo suppression method based on the modification of dual-path recurrent neural network (DPRNN) to improve ...
Sep 7, 2021 · In this paper, we propose a residual echo suppression method based on the modification of dual-path recurrent neural network (DPRNN) to improve the quality of ...
May 15, 2020 · In this paper, we modify the Conv-TasNet to effectively exploit the multiple streams created from the residual signal of LAEC and the output of ...
Apr 25, 2024 · Hongsheng Chen, Teng Xiang, Kai Chen, Jing Lu: Nonlinear Residual Echo Suppression Based on Multi-Stream Conv-TasNet.