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@judiebig judiebig released this 12 Mar 08:32
· 17 commits to main since this release
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Learn about vigilant mode.

We upload the pre-trained model, trained on VB with 0.5 as the dropout ratio.

We got:

csig:3.8357 cbak:3.2350 covl:3.1840 pesq:2.5430 ssnr:8.9398 stoi:0.9335 on VB

csig:2.8673 cbak:2.1805 covl:2.1647 pesq:1.5709 ssnr:1.6121 stoi:0.8673 on CHIME-4

Weigths-dis is the checkpoint of '1step dis' in the experimental part of the paper, trained on VB.

We got:

csig:3.6228 cbak:3.2605 covl:3.0523 pesq:2.4946 ssnr:9.7642 stoi:0.9327 on VB

csig:2.2069 cbak:1.9519 covl:1.6281 pesq:1.2173 ssnr:1.9884 stoi:0.7230 on CHIME-4

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