The table includes only models with public weights or configurations that can run locally.
ClearerVoice-Studio model performance
Choose a dataset to view all metrics for each model. Rows follow the official rank or selected metric. Bold marks each column’s best comparable value, including ties. Different evaluation protocols are ranked separately; missing scores are shown as -.
Deployable entries 1 / source rows 8
Not ranked: 7
A complete public inference package for these experiments has not been verified. Other weights with the same model name do not qualify.
Conv-TasNet · DualPathRNN · DPTNet · SepFormer · TDANet Large · TF-GridNet · SPMamba
The sources use different training or task settings, so compare numbers only within the stated protocol.
| Metric rank | Model | LRS2_2Mix (16 kHz)↑ | WSJ0-2Mix (8 kHz)↑ | Libri2Mix (8kHz)↑ | WHAM! (8 kHz)↑ |
|---|---|---|---|---|---|
| - | MossFormer2_SS_16KPublic weights · Inference code | 15.5 | 22.0 | 16.7 | 17.4 |