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Two-step Band-split Neural Network Approach for Full-band Residual Echo Suppression
This paper describes a Two-step Band-split Neural Network (TBNN) approach for full-band acoustic echo cancellation.
Residual acoustic echo suppression based on efficient multi-task convolutional neural network
The training criterion is based on a novel loss function, which we call as the suppression loss, to balance the suppression of residual echo and the distortion of near-end signals.
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