TaoRuijie / Loss-Gated-Learning

ICASSP 2022: 'Self-supervised Speaker Recognition with Loss-gated Learning'

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About Vox_O, Vox_E, Vox_H sets

xjchenGit opened this issue · comments

Thank you for providing code, which can help me follow your work to further research. However, I have some confuse about the setting of Vox_O, Vox_E, Vox_H. According to your GitHub repo. It seems that you use the cleaned version of Vox_O, Vox_E, Vox_H for evaluation, but your reference “An iterative framework for self-supervised deep speaker representation learning.” is use the version without “cleaned” notation. What is the difference between this two version evaluation set ? Hope your reply, which is helpful for me. Thanks!

Clean is the txt file with the index "2" Please check it on voxceleb dataset website. It has metioned.

For the paper you mentioned. I do not know they use which version.

Clean list removes some wrong trials. So EER can be a bit better(about5% to10% I remember)