Nonlinear Residual Echo Suppression Based on Multi-stream Conv-TasNet

• URL: http://arxiv.org/abs/2005.07631v1
• Date: Fri, 15 May 2020 16:41:16 GMT
• Title: Nonlinear Residual Echo Suppression Based on Multi-stream Conv-TasNet
• Authors: Hongsheng Chen, Teng Xiang, Kai Chen, Jing Lu
• Abstract summary: We propose a residual echo suppression method based on the modification of fully convolutional time-domain audio separation network (Conv-TasNet) Both the residual signal of the linear acoustic echo cancellation system, and the output of the adaptive filter are adopted to form multiple streams for the Conv-TasNet.
• Score: 22.56178941790508
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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 required to further suppress the echo. In this paper, we propose a residual echo suppression method based on the modification of fully convolutional time-domain audio separation network (Conv-TasNet). Both the residual signal of the linear acoustic echo cancellation system, and the output of the adaptive filter are adopted to form multiple streams for the Conv-TasNet, resulting in more effective echo suppression while keeping a lower latency of the whole system. Simulation results validate the efficacy of the proposed method in both single-talk and double-talk situations.

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