Closed Parisa-Bagherzadeh closed 1 year ago
train each dataset of speakers separately;Train all dataset of speakers at once , they share a single checkpoint.
I have 5 speakers, speaker0, speaker1,... how i can train and save the checkpoints for each in separate folders?
when train speaker0, delete data of speaker1 speaker2~~~ or move to somewhere
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train each dataset of speakers separately;Train all dataset of speakers at once , they share a single checkpoint.
A single checkpoint for all speakers?! wouldn't that give bad results after inference?
A single checkpoint for all speakers?! yes if they are all hight quality, every thing will be ok.
How can I create the checkpoints for each dataset of speakers separately in different folders?