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License: MIT License
Gaussian Mixture VAE Tacotron
License: MIT License
Hi, I've read your code, and it seems that your implementation is a VAE-Tacotron, but not a GMVAE-Tacotron?
Because the loss here seems is no difference from this repo.?
Hi, I couldn't find the implementation for latent posteriors of q(yl | X) and q(zl | X) as discussed in the claimed paper. The MC estimate of the variational lower bound also seems to be missing as discussed in Appendix A,
Wanted to confirm if I'm missing anything or the latent is just assumed as a dummy VAE with a single variable zl as the learnt latent.
gmvae_tacotron/tacotron/utils/util.py
Line 24 in cb88021
Has vae_weight with the default hyper-parameters been tested?
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