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Attention doesn't work well for downsample_step=1 and outputs_per_step=1 #24

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r9y9 opened this issue Jan 10, 2018 · 3 comments
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@r9y9
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r9y9 commented Jan 10, 2018

Noticed while working on #21.

Trained 300k steps, but the model was not generalized well. Need to figure out how we can improve.

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stale bot commented May 30, 2019

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.

@vikrantsharma7
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Hello @r9y9
Any update on this?
downsample_step=1 fails to learn, but works fine with 4.

@r9y9
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r9y9 commented Jul 6, 2019

@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).

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