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It seems in preprocessing stage, each utterance will generate a .npy file. I think it's the reason that make it slow. Maybe a beter solution is to save multiple utterances feature in one npy file.
The text was updated successfully, but these errors were encountered:
It seems in preprocessing stage, each utterance will generate a .npy file. I think it's the reason that make it slow. Maybe a beter solution is to save multiple utterances feature in one npy file.
The text was updated successfully, but these errors were encountered: