deepvoice3_pytorch
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Attention doesn't work well for downsample_step=1 and outputs_per_step=1
Noticed while working on https://github.com/r9y9/deepvoice3_pytorch/pull/21.
Trained 300k steps, but the model was not generalized well. Need to figure out how we can improve.
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Hello @r9y9
Any update on this?
downsample_step=1
fails to learn, but works fine with 4.
@vikrantsharma7 I'm sorry but I don't have time to work on that recently.
Meanwhile, you might want to have a look at https://github.com/espnet/espnet, which provides Tacotron 2 and Transformer-based TTS. And it works well with downsample_step=1 (i.e. no reduction factor). Espnet is initially designed for end-to-end ASR and is not that simple compared to my repo, but it looks promising and people in the community are very kind (and I am part of it).