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IDRnD / ReDimNet

The official pytorch implemention of the Intespeech 2024 paper "Reshape Dimensions Network for Speaker Recognition"
MIT License
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About the hyper-parameters of sphereface2 used for ReDimNet #10

Closed Hunterhuan closed 2 months ago

Hunterhuan commented 2 months ago

Hello, ReDimNet is a very valuable work, and thank you very much for your open source sharing of the code.

I saw in the paper that using sphereface 2 as the loss function would yield better results. May I ask what specific hyper-parameters you used when adopting sphereface 2? (including margin, t, scale, and lambuda for both pretraining and LMF stages.)

Thanks again

Hunterhuan commented 2 months ago

Sorry, I noticed that you have already shared the relevant parameters in other issues. Thanks again.

https://github.com/IDRnD/ReDimNet/issues/9