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theolepage / sslsv

Framework for training and evaluating self-supervised learning methods for speaker verification.

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sorry

liyunlongaaa opened this issue · comments

commented

sorry, I can't understand the code for using the annotated label in evaluate_label_efficient, it seems that the training process is the same as no label process. Can you talk some key about it?

commented

Hi @liyunlongaaa,

Indeed, the training process is similar. The only difference is that we use SupervisedSampler.py to make sure that each sample in the training mini-batch is from a unique speaker. This corresponds to a metric learning paradygm (see In defence of metric learning for speaker recognition).