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

Open r9y9 opened this issue 6 years ago • 3 comments

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.

r9y9 avatar Jan 10 '18 08:01 r9y9

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.

stale[bot] avatar May 30 '19 02:05 stale[bot]

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

vikrantsharma7 avatar Jul 06 '19 05:07 vikrantsharma7

@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).

r9y9 avatar Jul 06 '19 08:07 r9y9