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For the performance, the model for this sub-task isn't trained on a large amount of data. It is only trained on WSJ0-2mix, so it may have a bad generalisation performance.
OK, I get it. Thanks for your reply! I would like to know if there will be a model that is trained on large amounts of data. Or will there be a model (except SpEx+ like BSRNN, TFGridNet) that has a better performance?
I try "Sub-Task 1: Audio-only Speaker Extraction Conditioned on a Reference Speech", but found that
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