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Hi! These files are produced by asvtorch and saved in .npz format for better convenience: in this way I don't have to use every time the loaders inside asvtorch and I have my dataframe ready to be used.
Therefore what you will have to do is to copy the copy inside that repo, split all observations in train and test according to the train and test files I uploaded and you should be good to go :)
from voxceleb_enrichment_age_gender.
Hey,
Thanks for the answer!
So if I'm only interested in generating the dataset (including the audio files) used in the paper without the asvtorch environment what will be the easiest way to do so?
from voxceleb_enrichment_age_gender.
from voxceleb_enrichment_age_gender.
Thanks again for your answer.
My problem with the asvtorch environment is that it requires to many dependencies and other installations (such as kaldi tools) and I don't have a stand alone environment to do so but I am working with Colab.
Is it possible to run the asvtorch with Colab notebooks? I have troubles in Colab with many things such as Conda and I don't even get to the point where I can run anything.
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from voxceleb_enrichment_age_gender.
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from voxceleb_enrichment_age_gender.