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In theory, a bigger training dataset leads to a better performance (generalization ability), but I think for GMM-VC about 50-80 utterances should be enough, i.e. the improvement can be marginal if you add in more data after you dataset reach this size.
I have used 170 corpus training, The effect is still good. Is it necessary to add sample data to get a bigger effect?
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