2 papers
cs.SD2024
FRCRN: Boosting Feature Representation using Frequency Recurrence for Monaural Speech Enhancement
Shengkui Zhao, Bin Ma, Karn N. Watcharasupat +1
Convolutional recurrent networks (CRN) integrating a convolutional encoder-decoder (CED) structure and a recurrent structure have achieved promising performance for monaural speech…
cs.SD2024
Monaural Speech Enhancement with Complex Convolutional Block Attention Module and Joint Time Frequency Losses
Shengkui Zhao, Trung Hieu Nguyen, Bin Ma
Deep complex U-Net structure and convolutional recurrent network (CRN) structure achieve state-of-the-art performance for monaural speech enhancement. Both deep complex U-Net and C…