A time-frequency attention module for neural speech enhancement

HIGHLIGHTS

• who: ResTCN et al. from the (UNIVERSITY) have published the research work: A Time-Frequency Attention Module for Neural Speech Enhancement, in the Journal: (JOURNAL)
• what: The authors propose a simple yet very effective network module which the authors term the T-F attention (TFA) module that uses two parallel attention branches i.e. time-frame attention and frequency-channel attention to explicitly exploit position information to generate a 2-D attention map to characterise the salient T-F distribution. The proposed TFA module consists of two parallel attention branches, i.e., timedimension (TA) and . . .
  

   

  

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