FSformer: Sparsely and Effectively Learning Key Features for Multi-channel Speech Enhancement

Speech Enhancement Category

FSformer: Sparsely and Effectively Learning Key Features for Multi-channel Speech Enhancement

Hybrid Feature Global Attention Network for Noisy-reverberant Speech Enhancement

CSTF-SENet: A Single-Channel Speech Enhancement Model with Cross-Scale Temporal-Frequency Transformer

Hybrid Lightweight Attentive Fourier Network for Multichannel Speech Enhancement

Fused Sparse Temporal-Frequency Attentive Network for Multichannel Speech Enhancement

A Lightweight Shuffle Fourier Attention Network for Multi-channel Speech Enhancement

Two-stage UNet with Channel and Temporal-Frequency Attention for Multi-Channel Speech Enhancement

Supervised Attention Multi-Scale Temporal Convolutional Network for Monaural Speech Enhancement in Real Scenarios

Dual branch deep interactive UNet for monaural noisy-reverberant speech enhancement

Dual branch soft-threshold attention network for monaural noisy-reverberant speech enhancement

Two-stage UNet with multi-axis gated multilayer perceptron for monaural noisy-reverberant speech enhancement