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Am I crazy or is 10,000 samples nowhere near enough for training people’s voices?
If you have pre-trained model or a classical voice matching algorithm as the basis, few samples might suffice.
I don’t think it seems like too few samples for it to work.
What they train for is rather specific. To identify anger and hostility characteristics, and adjust pitch and inflection.
Dunno if you meant it like that when you said “training people’s voices”, but they’re not replicating voices or interpreting meaning.