Attention weights with partial flat line (non-english) about flowtron HOT 6 CLOSED

I think The problem is representation of your symbols with text. You must get good alignment in 10k steps. If don't its mean something get wrong.

Yes. Warmstart helping.

I don't know whats happening, but yes you can do inference with only 1 flow.

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I think The problem is representation of your symbols with text. You must get good alignment in 10k steps. If don't its mean something get wrong.

Yes. Warmstart helping.

I don't know whats happening, but yes you can do inference with only 1 flow.

I guess.. I will try changing my symbols to ASCII, will come update soon.

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Sorry for a very late reply.

I tried changing my symbols to characters such as @A1 @A2 along with a new filelists that is already converted to the added symbols.

Here's the results after 20k iters, which I honestly think doesn't have any differences... I wonder where did it goes wrong.

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Turn out, 20 out of ~2k audio files was just pure noise, removing them solves the problem.

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@Bahm9919
Sorry for the @ and for commenting on the closed issue.
I saw that it seems like you just recently able to do the inference, would it be possible for you to kindly share how you did it?

Especially

• Torch version
• Any changes in inference.py
• Which WaveGlow weight
• Does your submodule has this commit? Submodule path 'tacotron2': checked out '6f435f7f29c3e1553cf2dd7ca2daf56903b20c39'

Or anything else, surprisingly?
Very much appreciated.

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@Bahm9919 Sorry for the @ and for commenting on the closed issue. I saw that it seems like you just recently able to do the inference, would it be possible for you to kindly share how you did it?

Especially

• Torch version
• Any changes in inference.py
• Which WaveGlow weight
• Does your submodule has this commit? Submodule path 'tacotron2': checked out '6f435f7f29c3e1553cf2dd7ca2daf56903b20c39'

Or anything else, surprisingly? Very much appreciated.

I see your issue, will answer there.

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