TFCN: Temporal-Frequential Convolutional Network for Single-Channel Speech Enhancement

Deep learning based single-channel speech enhancement tries to train a neural network model for the prediction of clean speech signal. There are a variety of popular network structures for single-channel speech enhancement, such as TCNN, UNet, WaveNet, etc. However, these structures usually contain...

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Veröffentlicht in:	arXiv.org 2022-01
Hauptverfasser:	Jia, Xupeng, Li, Dongmei
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applications programs Intelligibility Machine learning Mobile computing Neural networks Parameters Performance evaluation Speech Speech processing Weight reduction
Online-Zugang:	Volltext
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