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  • I went through different articles of speaker verifications (ECAPA-TDNN, TITANET).
  • They trained on VoxCeleb dataset.
  • In this dataset (voxceleb) some speakers have many more files than other speakers (imbalanced classes).
  • Those articles didn't mentioned how did they handle this imbalanced

Do we need to balanced the classes (number of files per speaker) ?

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