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License: MIT License
# create training environment
conda create -n cucvae python=3.6
conda activate cucvae
pip install -r requirements.txt
pip install tensorflow==1.14
pip install easydict
pip install rich
# install pytorch according to your CUDA verson and Driver
conda install pytorch==1.8.1 torchvision==0.9.1 torchaudio==0.8.1 cudatoolkit=10.2 -c pytorch
In VAE model reparameterize(), When in inference, 'mu' and 'logvar' are all zeros.
and then 'z = self.reparameterize(mu, logvar, text_mu, text_logvar)'.
and then 'out = text_prior.mul(std).add_(mu)'
It is mean the out is only text_prior? and text_eps is random, so when I generator one sentence twice, it means the wavs will not same.
And In my test, It can not gen normal wav, Where is my thinking wrong?
Thanks.
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