Creating norm_info_mgc_lf0_vuv_bap_63_MVN.dat for the Full VCTK dataset about loop HOT 7 OPEN

@PetrochukM i also have large dataset for single speaker. it around 13k files. can you please share you changes so i can apply to my side.

from loop.

This post will answer your question: #11

from loop.

@macarbonneau Have you run this? Is it OKAY to just recompute the mean and the STD?

It looks like the data is recreated in the generation code using the mean and the STD; therefore, every numpy features (.npz) file needs to be updated to fit the new mean and the new STD. I want to make sure i'm understanding this correctly.

from loop.

This sounds very complicated.

Why not just put all your .wav files in the same folder and extract npz feature on this folder. Anyway, you will have to combine them in a numpy_features/ and a numpy_features_valid/ folder later. Voiceloop uses the prefix in your file name to determine speaker ID.

This is what I did and it works fine.

from loop.

They are in the same folder.

When I run extract_feats with 40,000 files, it splits them up because its over a 5,000 file limit here:
https://gist.github.com/kastnerkyle/cc0ac48d34860c5bb3f9112f4d9a0300#file-extract_feats-py-L1339

Did you disable this feature?

from loop.

Oh yeah... I played a bit with the script. I don't think this part is active anymore in my code.

from loop.

@macarbonneau O nice. Can you post a gist?

from loop.