2 papers
cs.SD2024
MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation
Shengkui Zhao, Yukun Ma, Chongjia Ni +7
Our previously proposed MossFormer has achieved promising performance in monaural speech separation. However, it predominantly adopts a self-attention-based MossFormer module, whic…
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…