Hybrid Dilated and Recursive Recurrent Convolution Network for Time-Domain Speech Enhancement
In this paper, we propose a fully convolutional neural network based on recursive recurrent convolution for monaural speech enhancement in the time domain. The proposed network is an encoder-decoder structure using a series of hybrid dilated modules (HDM). The encoder creates low-dimensional feature...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI
2022
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Subjects: | |
Online Access: | View Fulltext in Publisher |