Training encoder

[dtanalytic]

Thanks for work! Help me to train an encoder. How is it possible to add new custom voices to train datasets, or only fixed (like LibriSpeech: train-other-500, VoxCeleb1...) are available through the interface of commands:
python encoder_preprocess.py <datasets_root>
and
python encoder_train.py my_run <datasets_root>/SV2TTS/encoder

If possible, than how i should keep files, in root data directory or subfolders, in what formats? I tried to add my voice to subfolder but got an error like:

"Python encoder_preprocess.py data
Arguments:
datasets_root: data
out_dir: data/SV2TTS/encoder
datasets: ['preprocess_voxforge']
skip_existing: False

Preprocessing preprocess_voxforge
Couldn't find data/book, skipping this dataset"

I looked at the source and found that there are fixed funcs that preprocess different formats of train data (like preprocess22,preprocess44...) What do they mean? Maybe i should use one of them?
Thank you.

[vlomme]

each dataset structure needs its own code. I have written functions for three options

[dtanalytic]

And what do this options mean (22,44,16)? Maybe i can use one of them?17.11.2020, 20:14, "Kramarenko Vladislav" <[email protected]>: each dataset structure needs its own code. I have written functions for three options —You are receiving this because you authored the thread.Reply to this email directly, view it on GitHub, or unsubscribe.