• Corpus ID: 245650557

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

  title={TFCN: Temporal-Frequential Convolutional Network for Single-Channel Speech Enhancement},
  author={Xupeng Jia and Dongmei Li},
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 millions of parameters, which is an obstacle for mobile applications. In this work, we proposed a light weight neural network for speech enhancement named TFCN. It is a temporal-frequential… 

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