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I am not very sure since I have not tried this setting.
From my opinion, since X >> N, finetuning with N speakers with the additional data only with a smaller learning rate maybe is the best. Fineting with (X+N) speakers with all data only with a smaller learning rate is also a suitable solution.
I have a question about the continuous training:
How to finetune the model?
Thanks!
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