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SOTA
语音增强
Speech Enhancement On Demand
Speech Enhancement On Demand
评估指标
PESQ (wb)
Para. (M)
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
PESQ (wb)
Para. (M)
Paper Title
Repository
PESQetarian
3.82
30
The PESQetarian: On the Relevance of Goodhart's Law for Speech Enhancement
-
Mamba-SEUNet L (+PCS)
3.73
6.28
Mamba-SEUNet: Mamba UNet for Monaural Speech Enhancement
Schrödinger bridge (PESQ loss)
3.70
-
Investigating Training Objectives for Generative Speech Enhancement
SEMamba (+PCS)
3.69
2.25
An Investigation of Incorporating Mamba for Speech Enhancement
ZipEnhancer (S, lamba_6 = 0)
3.63
2.04
-
-
ZipEnhancer (S, lamba_6 = 0.2)
3.61
2.04
-
-
PrimeK-Net
3.61
1.41
PrimeK-Net: Multi-scale Spectral Learning via Group Prime-Kernel Convolutional Neural Networks for Single Channel Speech Enhancement
MP-SENet
3.60
2.26
Explicit Estimation of Magnitude and Phase Spectra in Parallel for High-Quality Speech Enhancement
PCS_CS_WAVLM
3.54
-
-
-
xLSTM-SENet2
3.53
2.27
xLSTM-SENet: xLSTM for Single-Channel Speech Enhancement
SCP-CMGAN
3.52
-
SCP-GAN: Self-Correcting Discriminator Optimization for Training Consistency Preserving Metric GAN on Speech Enhancement Tasks
-
D2Former
3.43
0.86
Monaural Speech Enhancement with Complex Convolutional Block Attention Module and Joint Time Frequency Losses
CMGAN
3.41
-
CMGAN: Conformer-Based Metric-GAN for Monaural Speech Enhancement
PCS
3.35
-
Perceptual Contrast Stretching on Target Feature for Speech Enhancement
aTENNuate
3.27
-
aTENNuate: Optimized Real-time Speech Enhancement with Deep SSMs on Raw Audio
-
D²Net
3.27
-
D²Net: A Denoising and Dereverberation Network Based on Two-branch Encoder and Dual-path Transformer
-
Centaurus (0.51M)
3.25
-
Let SSMs be ConvNets: State-space Modeling with Optimal Tensor Contractions
-
MetricGAN-OKD
3.24
1.89
MetricGAN-OKD: Multi-Metric Optimization of MetricGAN via Online Knowledge Distillation for Speech Enhancement
-
MANNER
3.21
-
MANNER: Multi-view Attention Network for Noise Erasure
BSSE-SE
3.20
-
Boosting Self-Supervised Embeddings for Speech Enhancement
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