Open dtanalytic opened 3 years ago
each dataset structure needs its own code. I have written functions for three options
And what do this options mean (22,44,16)? Maybe i can use one of them?17.11.2020, 20:14, "Kramarenko Vladislav" notifications@github.com: each dataset structure needs its own code. I have written functions for three options
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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
and
python encoder_train.py my_run /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.