Speech Separation on WSJ0-3mix (test)
19.5SI-SNRiSepFormer
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| SepFormer# Param=26M, Dynamic Mixing=true2022.02 | 19.5 | — | 19.7 | — | |
| Wavesplit# Param=29M, Dynamic Mixing=true2022.02 | 17.8 | — | 18.1 | — | |
| SepFormer# Param=26M, Dynamic Mixing=false2022.02 | 17.6 | — | 17.9 | — | |
| Wavesplit + Spk IDParams.=†42.5M, Speaker ID usage=true2021.03 | 17.3 | — | 17.6 | — | |
| Wavesplit# Param=29M, Dynamic Mixing=false2022.02 | 17.3 | — | 17.6 | — | |
| Sandglasset (MG)Params.=2.3M, Strategy=Multi-Granularity (MG), Speaker ID usage=false2021.03 | 17.1 | — | 17.4 | — | |
| Voice SeparationTraining Data=WSJ0-Nmix, Training with variable number of speakers=false, Architecture=multiple2020.06 | 16.9 | — | — | — | |
| VSUNOS# Param=7.5M2022.02 | 16.9 | — | — | — | |
| Gated DPRNN + Spk IDParams.=7.5M, Speaker ID usage=true2021.03 | 16.7 | — | — | — | |
| DPRNNTraining Data=WSJ0-Nmix, Training with variable number of speakers=false, Architecture=multiple2020.06 | 14.7 | — | — | — | |
| DPRNNParams.=2.6M, Speaker ID usage=false2021.03 | 14.7 | — | — | — | |
| DualPathRNN# Param=2.6M2022.02 | 14.7 | — | — | — | |
| Conditional TasNet*Training Data=WSJ0 2-5 mix, Training with variable number of speakers=true, Architecture=single2020.06 | 14.2 | — | — | — | |
| WFM2018.09 | 13.6 | — | 14 | — | |
| Conditional TasNet*Training Data=WSJ0-2&3mix, Training with variable number of speakers=true, Architecture=single2020.06 | 13.4 | — | — | — | |
| Conditional TasNet*Training Data=WSJ0-3mix, Training with variable number of speakers=false, Architecture=single2020.06 | 13.3 | — | — | — | |
| IBM2018.09 | 13.2 | — | 13.6 | — | |
| TasNet*Training Data=WSJ0-Nmix, Training with variable number of speakers=false, Architecture=multiple2020.06 | 12.8 | — | — | — | |
| Conv-TasNet-gLNModel size=5.1M, Causal=false2018.09 | 12.7 | — | 13.1 | — | |
| ConvTasNetTraining Data=WSJ0-Nmix, Training with variable number of speakers=false, Architecture=multiple2020.06 | 12.7 | — | — | — | |
| Conv-TasNetParams.=8.8M, Speaker ID usage=false2021.03 | 12.7 | — | 13.1 | — | |
| Conv-TasNet# Param=5.1M2022.02 | 12.7 | — | 13.1 | — | |
| OR-PITTraining Data=WSJ0-2&3mix, Training with variable number of speakers=true, Architecture=single2020.06 | 12.6 | — | — | — | |
| IRM2018.09 | 12.5 | — | 13 | — | |
| TasNetTraining Data=WSJ0-Nmix, Training with variable number of speakers=false, Architecture=multiple2020.06 | 11.6 | — | — | — | |
| ADANetModel size=9.1M, Causal=false2018.09 | 9.1 | — | 9.4 | — | |
| DANetModel size=9.1M, Causal=false2018.09 | 8.6 | — | 8.9 | — | |
| Conv-TasNet-cLNModel size=5.1M, Causal=true2018.09 | 7.8 | — | 8.2 | — | |
| DPCL++Model size=13.6M, Causal=false2018.09 | 7.1 | — | — | — | |
| Conv-TasNet2018.09 | — | 2.61 | — | — | |
| Conv-TasNetPara.(M)=5.1, Data Augmentation=None2023.02 | — | — | — | 12.7 | |
| Conv-TasNetParameters (M)=5.12023.12 | — | — | — | 12.7 | |
| DPRNNPara.(M)=2.6, Data Augmentation=None2023.02 | — | — | — | 14.7 | |
| DPRNNParameters (M)=2.62023.12 | — | — | — | 14.7 | |
| IBM2018.09 | — | 2.91 | — | — | |
| IRM2018.09 | — | 3.52 | — | — | |
| MossFormerParameters (M)=42.12023.12 | — | — | — | 21.2 | |
| MossFormer(L)Para.(M)=42.1, Data Augmentation=Dynamic Mixing (DM)2023.02 | — | — | — | 21.2 | |
| MossFormer(M)Para.(M)=25.3, Data Augmentation=Dynamic Mixing (DM)2023.02 | — | — | — | 20.8 | |
| MossFormer(S)Para.(M)=10.8, Data Augmentation=None2023.02 | — | — | — | 17.8 | |
| MossFormer2Parameters (M)=55.72023.12 | — | — | — | 22.2 | |
| Separate And Diffuse2023.12 | — | — | — | 20.9 | |
| SepFormerPara.(M)=25.7, Data Augmentation=None2023.02 | — | — | — | 17.6 | |
| SepFormerPara.(M)=25.7, Data Augmentation=Dynamic Mixing (DM)2023.02 | — | — | — | 19.5 | |
| SepFormerParameters (M)=25.72023.12 | — | — | — | 19.5 | |
| uPIT-BLSTM-STModel size=92.7M, Causal=false2018.09 | — | — | 7.7 | — | |
| Upper bound2023.02 | — | — | — | 21.2 | |
| VSUNOSPara.(M)=7.5, Data Augmentation=None2023.02 | — | — | — | 16.9 | |
| VSUNOSParameters (M)=7.52023.12 | — | — | — | 16.9 | |
| WavesplitPara.(M)=29, Data Augmentation=None2023.02 | — | — | — | 17.3 | |
| WavesplitPara.(M)=29, Data Augmentation=Dynamic Mixing (DM)2023.02 | — | — | — | 17.8 | |
| WavesplitParameters (M)=292023.12 | — | — | — | 17.8 | |
| WFM2018.09 | — | 3.45 | — | — |