Speech Enhancement on VoiceBank + DEMAND (VB-DMD) (test)
3.99PESQOurs(+ PESQ loss)
Evaluation results
| Method | Links | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Ours(+ PESQ loss)Type=G, Steps=1, Solver=Heun, RCD=true, Optimized Loss=PESQ loss2025.07 | 3.99 | 0.83 | 0.4 | 2.93 | 2.31 | — | — | — | — | — | — | — | — | — | — | — | |
| PESQetarianType=P2025.07 | 3.82 | 0.84 | -19.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PESQetarianObjective=PESQ2024.06 | 3.82 | 0.84 | -19.8 | — | — | — | — | — | — | — | 2.06 | 1.46 | 56 | 8.5 | — | — | |
| M6Type=G, Steps=302025.07 | 3.7 | 0.86 | 8.3 | 3.9 | 4.33 | — | — | — | — | — | — | — | — | — | — | — | |
| SEMamba (+PCS)Contrastive Learning=true, Perceptual Contrast Stretching=true2024.05 | 3.69 | — | — | — | — | 4.79 | 3.63 | 4.37 | 0.96 | — | — | — | — | — | — | — | |
| SEMambaContrastive Learning=true2024.05 | 3.55 | — | — | — | — | 4.77 | 3.95 | 4.29 | 0.96 | — | — | — | — | — | — | — | |
| SEMamba (-CL)Contrastive Learning=false2024.05 | 3.52 | — | — | — | — | 4.75 | 3.98 | 4.26 | 0.96 | — | — | — | — | — | — | — | |
| SGMSE+unsupervised=false, generative=true, training_condition=matched2026.01 | 3.51 | 0.87 | 17.33 | — | — | — | — | — | — | — | 3.9 | — | — | — | 28.99 | 17.81 | |
| M7Type=G, Steps=302025.07 | 3.5 | 0.87 | 14.1 | 4.08 | 4.48 | — | — | — | — | — | — | — | — | — | — | — | |
| MP-SENet2024.05 | 3.5 | — | — | — | — | 4.73 | 3.95 | 4.22 | 0.96 | — | — | — | — | — | — | — | |
| ROSE-CDType=G, Steps=1, Solver=Heun, RCD=true, Optimized Loss=PESQ + SI-SDR2025.07 | 3.49 | 0.87 | 17.8 | 4.13 | 4.41 | — | — | — | — | — | — | — | — | — | — | — | |
| DiffUSEENunsupervised=true, generative=true, training_condition=matched2026.01 | 3.43 | 0.85 | 14.51 | — | — | — | — | — | — | — | 3.75 | — | — | — | 17.61 | 18.63 | |
| Conv-TasNetunsupervised=false, generative=false, training_condition=matched2026.01 | 3.42 | 0.87 | 19.42 | — | — | — | — | — | — | — | 3.85 | — | — | — | 32.47 | 19.94 | |
| ParaDiffUSE-INunsupervised=true, generative=true, training_condition=matched2026.01 | 3.42 | 0.83 | 13.91 | — | — | — | — | — | — | — | 3.6 | — | — | — | 21.36 | 15.57 | |
| CMGAN2024.05 | 3.41 | — | — | — | — | 4.63 | 3.94 | 4.12 | 0.96 | — | — | — | — | — | — | — | |
| DEPSE-TLunsupervised=true, generative=true, training_condition=matched2026.01 | 3.41 | 0.84 | 14.04 | — | — | — | — | — | — | — | 3.73 | — | — | — | 16.61 | 18.41 | |
| ParaDiffUSE-ENunsupervised=true, generative=true, training_condition=matched2026.01 | 3.41 | 0.86 | 18 | — | — | — | — | — | — | — | 3.83 | — | — | — | 29.87 | 18.5 | |
| Spiking-S42024.05 | 3.39 | — | — | — | — | 4.92 | 2.64 | 4.31 | — | — | — | — | — | — | — | — | |
| UDiffSEunsupervised=true, generative=true, training_condition=matched2026.01 | 3.35 | 0.84 | 13.82 | — | — | — | — | — | — | — | 3.8 | — | — | — | 20.37 | 15.54 | |
| DEPSE-ILunsupervised=true, generative=true, training_condition=matched2026.01 | 3.35 | 0.81 | 10.55 | — | — | — | — | — | — | — | 3.7 | — | — | — | 19.95 | 11.53 | |
| DiffUSEENunsupervised=true, generative=true, training_condition=mismatched2026.01 | 3.35 | 0.84 | 14.82 | — | — | — | — | — | — | — | 3.72 | — | — | — | 19.38 | 17.38 | |
| ParaDiffUSE-ENunsupervised=true, generative=true, training_condition=mismatched2026.01 | 3.35 | 0.85 | 10.91 | — | — | — | — | — | — | — | 3.77 | — | — | — | 13.06 | 17.75 | |
| DPT2024.05 | 3.33 | — | — | — | — | 4.58 | 3.72 | 4 | 0.96 | — | — | — | — | — | — | — | |
| DEPSE-TLunsupervised=true, generative=true, training_condition=mismatched2026.01 | 3.33 | 0.84 | 14.02 | — | — | — | — | — | — | — | 3.69 | — | — | — | 17.39 | 17.48 | |
| DEPSE-ILunsupervised=true, generative=true, training_condition=mismatched2026.01 | 3.32 | 0.8 | 11.16 | — | — | — | — | — | — | — | 3.66 | — | — | — | 24.49 | 11.52 | |
| UDiffSEunsupervised=true, generative=true, training_condition=mismatched2026.01 | 3.31 | 0.84 | 14.28 | — | — | — | — | — | — | — | 3.76 | — | — | — | 22.09 | 15.47 | |
| UDiffSE+unsupervised=true, generative=true, training_condition=matched2026.01 | 3.29 | 0.79 | 10.4 | — | — | — | — | — | — | — | 3.71 | — | — | — | 22.68 | 10.99 | |
| SGMSE+unsupervised=false, generative=true, training_condition=mismatched2026.01 | 3.29 | 0.84 | 10.26 | — | — | — | — | — | — | — | 3.73 | — | — | — | 12.64 | 17.19 | |
| Conv-TasNetunsupervised=false, generative=false, training_condition=mismatched2026.01 | 3.29 | 0.85 | 11.33 | — | — | — | — | — | — | — | 3.78 | — | — | — | 15.37 | 16.01 | |
| UDiffSE+unsupervised=true, generative=true, training_condition=mismatched2026.01 | 3.29 | 0.79 | 10.79 | — | — | — | — | — | — | — | 3.68 | — | — | — | 28.36 | 10.93 | |
| PESQ-SDRObjective=PESQ, SDR2024.06 | 3.26 | 0.72 | -70.6 | — | — | — | — | — | — | — | 1.7 | 1.44 | 41 | 60.4 | — | — | |
| ParaDiffUSE-INunsupervised=true, generative=true, training_condition=mismatched2026.01 | 3.26 | 0.8 | 8.76 | — | — | — | — | — | — | — | 3.58 | — | — | — | 10.31 | 15.92 | |
| Centaurus (hybrid, with Causal Conv)Parameters=0.51M, FLOPs / sec=0.29G, causal depthwise Conv1d=true, kernel size=42025.01 | 3.25 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FRCRNParameters=6.9M, FLOPs / sec=76.2G2025.01 | 3.21 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RVAEunsupervised=true, generative=true, training_condition=matched2026.01 | 3.19 | 0.83 | 17.33 | — | — | — | — | — | — | — | 3.49 | — | — | — | 27.1 | 18.29 | |
| DeepFilterNet3Parameters=2.13M, FLOPs / sec=0.688G2025.01 | 3.16 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MetricGAN+2024.05 | 3.15 | — | — | — | — | 4.14 | 3.16 | 3.64 | 0.93 | — | — | — | — | — | — | — | |
| S4ND-UNet2024.05 | 3.15 | — | — | — | — | 4.52 | 3.62 | 3.85 | — | — | — | — | — | — | — | — | |
| PFPL2020.10 | 3.15 | — | — | — | — | 4.18 | 3.6 | 3.67 | 0.95 | — | — | — | — | — | — | — | |
| MetricGAN+Type=P2025.07 | 3.13 | 0.83 | 8.5 | 3.25 | 3.56 | — | — | — | — | — | — | — | — | — | — | — | |
| MetricGAN+2022.08 | 3.13 | 0.83 | 8.5 | — | — | — | — | — | — | 3.63 | 3.37 | — | — | — | — | — | |
| Centaurus (hybrid)Parameters=0.51M, FLOPs / sec=0.29G2025.01 | 3.12 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RVAEunsupervised=true, generative=true, training_condition=mismatched2026.01 | 3.11 | 0.78 | 12.7 | — | — | — | — | — | — | — | 3.55 | — | — | — | 37.35 | 12.78 | |
| Centaurus (PW bottleneck)Parameters=0.83M, FLOPs / sec=0.65G2025.01 | 3.06 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| T-GSA2020.10 | 3.06 | — | — | — | — | 4.18 | 3.59 | 3.62 | — | — | — | — | — | — | — | — | |
| Centaurus (full)Parameters=2.53M, FLOPs / sec=1.12G2025.01 | 3.04 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ThunderType=P+G, Steps=22025.07 | 3.02 | 0.87 | 19.4 | 4.1 | 4.23 | — | — | — | — | — | — | — | — | — | — | — | |
| SDR-PESQCausality=noncausal2020.05 | 3.01 | — | — | — | — | 4.09 | 3.54 | 3.55 | — | — | — | — | — | — | — | — | |
| SDR-PESQ2020.10 | 3.01 | — | — | — | — | 4.09 | 3.54 | 3.55 | — | — | — | — | — | — | — | — | |
| Inputtraining_condition=matched2026.01 | 3.01 | 0.81 | 8.66 | — | — | — | — | — | — | — | 3.52 | — | — | — | 8.66 | 48.72 | |
| Ours(+ SI-SDR loss)Type=G, Steps=1, Solver=Heun, RCD=true, Optimized Loss=SI-SDR loss2025.07 | 3 | 0.87 | 17.3 | 4.05 | 3.57 | — | — | — | — | — | — | — | — | — | — | — | |
| PHASENCausality=noncausal2020.05 | 2.99 | — | — | — | — | 4.21 | 3.55 | 3.62 | — | — | — | — | — | — | — | — | |
| Ours(Heun + RCD)Type=G, Steps=1, Solver=Heun, RCD=true2025.07 | 2.98 | 0.86 | 18.4 | 4.01 | 4.13 | — | — | — | — | — | — | — | — | — | — | — | |
| HiFi-GAN2020.10 | 2.94 | — | — | — | — | 4.07 | 3.07 | 3.49 | — | — | — | — | — | — | — | — | |
| StoRMType=P+G, Steps=512025.07 | 2.93 | 0.88 | 18.8 | 4.09 | 4.26 | — | — | — | — | — | — | — | — | — | — | — | |
| SGMSE+Type=G, Steps=302025.07 | 2.93 | 0.87 | 17.3 | 4.12 | 4.24 | — | — | — | — | — | — | — | — | — | — | — | |
| SGMSE+2022.08 | 2.93 | 0.87 | 17.3 | — | — | — | — | — | — | 3.66 | 3.56 | — | — | — | — | — | |
| PERL-wav2vec2020.10 | 2.92 | — | — | — | — | 4.16 | 3.37 | 3.54 | 0.94 | — | — | — | — | — | — | — | |
| MEAN POOL-32 (OURS)Bottleneck channels=32, Training epochs=81, Smoothing strategy=Mean Pool2026.06 | 2.9186 | — | 17.3581 | — | — | — | — | — | 0.8613 | — | — | — | — | — | — | — | |
| TeacherType=G, Steps=30, Backbone=SGMSE+ backbone2025.07 | 2.9 | 0.85 | 16.9 | 3.99 | 4.19 | — | — | — | — | — | — | — | — | — | — | — | |
| STFT-TCNCausality=noncausal2020.05 | 2.89 | — | — | — | — | 4.24 | 3.4 | 3.56 | — | — | — | — | — | — | — | — | |
| Ours(Euler + RCD)Type=G, Steps=1, Solver=Euler, RCD=true2025.07 | 2.88 | 0.87 | 18.3 | 4.05 | 4.18 | — | — | — | — | — | — | — | — | — | — | — | |
| UNIVERSE++2026.06 | 2.88 | — | — | — | — | — | — | — | 0.86 | — | — | — | — | — | — | — | |
| OURS-128Bottleneck channels=128, Training epochs=1002026.06 | 2.8742 | — | 17.9844 | — | — | — | — | — | 0.8673 | — | — | — | — | — | — | — | |
| OURS-32Bottleneck channels=32, Training epochs=1002026.06 | 2.8636 | — | 17.8179 | — | — | — | — | — | 0.8589 | — | — | — | — | — | — | — | |
| MetricGAN2020.10 | 2.86 | — | — | — | — | 3.99 | 3.18 | 3.42 | 0.94 | — | — | — | — | — | — | — | |
| GRU(TFE+STME)Loss Function=TFE+STME, Kernel Type=Automatically-learned Gabor-based STRF kernels2021.02 | 2.82 | — | 17 | — | — | — | — | — | 0.938 | — | — | — | — | — | — | — | |
| STFT-TCNCausality=40 ms look ahead2020.05 | 2.8 | — | — | — | — | 4.17 | 3.3 | 3.49 | — | — | — | — | — | — | — | — | |
| StoRM-32Bottleneck channels=32, Training epochs=1002026.06 | 2.7941 | — | 17.952 | — | — | — | — | — | 0.8522 | — | — | — | — | — | — | — | |
| GRU(STME)Loss Function=STME (Spectro-Temporal Modulation Error)2021.02 | 2.78 | — | 14.4 | — | — | — | — | — | 0.931 | — | — | — | — | — | — | — | |
| MSEObjective=MSE2024.06 | 2.78 | 0.87 | 18.8 | — | — | — | — | — | — | — | 3.13 | 3.87 | 58 | 7.6 | — | — | |
| SEMamba (causal)Parameters=3.60M, FLOPs / sec=0.76G2025.01 | 2.76 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GRU(TFE+STME^R)Loss Function=TFE+STME, Kernel Type=Randomly-selected Gabor-based STRF kernels2021.02 | 2.76 | — | 16.9 | — | — | — | — | — | 0.932 | — | — | — | — | — | — | — | |
| PercepNetParameters=8.00M, FLOPs / sec=1.60G2025.01 | 2.73 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| STFT-TCNCausality=4 ms look ahead2020.05 | 2.73 | — | — | — | — | 4.11 | 3.25 | 3.42 | — | — | — | — | — | — | — | — | |
| Ours(Heun)Type=G, Steps=1, Solver=Heun2025.07 | 2.71 | 0.86 | 18.2 | 4.02 | 4.11 | — | — | — | — | — | — | — | — | — | — | — | |
| MDPhDCausality=noncausal2020.05 | 2.7 | — | — | — | — | 3.85 | 3.39 | 3.27 | — | — | — | — | — | — | — | — | |
| GRU(TFE)Loss Function=TFE (Time-Frequency Error)2021.02 | 2.68 | — | 17 | — | — | — | — | — | 0.933 | — | — | — | — | — | — | — | |
| Conv-TasNetCausality=noncausal2020.05 | 2.66 | — | — | — | — | 4.06 | 3.28 | 3.35 | — | — | — | — | — | — | — | — | |
| DEMUCSParameters=33.53M, FLOPs / sec=15.44G2025.01 | 2.65 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Conv-TasNet2022.08 | 2.63 | 0.85 | 19.1 | — | — | — | — | — | — | 3.42 | 3.37 | — | — | — | — | — | |
| Conv-TasNetCausality=33 ms look ahead2020.05 | 2.63 | — | — | — | — | 4.02 | 3.19 | 3.32 | — | — | — | — | — | — | — | — | |
| TeacherType=G, Steps=10, Backbone=SGMSE+ backbone2025.07 | 2.6 | 0.84 | 17 | 3.75 | 4.06 | — | — | — | — | — | — | — | — | — | — | — | |
| PHASEN (our impl.)Causality=noncausal2020.05 | 2.58 | — | — | — | — | 3.91 | 3.2 | 3.23 | — | — | — | — | — | — | — | — | |
| DFLImplementation=Official source code and released parameters2020.10 | 2.58 | — | — | — | — | 3.8 | 2.72 | 3.19 | 0.93 | — | — | — | — | — | — | — | |
| S4DSE2024.05 | 2.55 | — | — | — | — | 3.94 | 3 | 3.23 | 0.93 | — | — | — | — | — | — | — | |
| UNIVERSE2026.06 | 2.55 | — | — | — | — | — | — | — | 0.784 | — | — | — | — | — | — | — | |
| ERNNArchitecture=ERNN2021.02 | 2.54 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Conv-TasNetCausality=1 ms look ahead2020.05 | 2.53 | — | — | — | — | 3.95 | 3.08 | 3.23 | — | — | — | — | — | — | — | — | |
| CDiffuse2022.08 | 2.52 | 0.79 | 12.4 | — | — | — | — | — | — | 3.31 | 3.09 | — | — | — | — | — | |
| CDiffuSEvariant=large2026.06 | 2.52 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| StoRM-128Bottleneck channels=128, Training epochs=1002026.06 | 2.4862 | — | 18.5656 | — | — | — | — | — | 0.8571 | — | — | — | — | — | — | — | |
| CDiffuSEType=G, Steps=2002025.07 | 2.46 | 0.79 | 12.6 | 3.32 | 3.53 | — | — | — | — | — | — | — | — | — | — | — | |
| Ours(Euler)Type=G, Steps=1, Solver=Euler2025.07 | 2.46 | 0.83 | 14.3 | 3.27 | 3.46 | — | — | — | — | — | — | — | — | — | — | — | |
| MetricGAN-UValue source=taken from original paper2022.08 | 2.45 | 0.77 | 8.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RVAE2022.08 | 2.43 | 0.81 | 16.4 | — | — | — | — | — | — | 3.11 | 3.3 | — | — | — | — | — | |
| Open-UnmixCausality=noncausal2020.05 | 2.39 | — | — | — | — | 3.12 | 3.19 | 2.73 | — | — | — | — | — | — | — | — | |
| UMXValue source=taken from original paper2022.08 | 2.35 | 0.83 | 14 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CRPType=G, Steps=12025.07 | 2.31 | 0.85 | 11.5 | 3.62 | 3.94 | — | — | — | — | — | — | — | — | — | — | — | |
| SGMSE2022.08 | 2.28 | 0.8 | 16.2 | — | — | — | — | — | — | 3.22 | 3.46 | — | — | — | — | — |