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[Feature Request] Influence on accuracy #271

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ErfolgreichCharismatisch opened this issue Jan 22, 2021 · 4 comments
Open

[Feature Request] Influence on accuracy #271

ErfolgreichCharismatisch opened this issue Jan 22, 2021 · 4 comments

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@ErfolgreichCharismatisch

I used the web app for aligning.

I found that 54 % of phrases in my test set were misaligned.

Misaligned meaning

  1. Cut too early from the end
  2. Cut too late from the previous fragment
  3. Shifted altogether

I had voice detection control whether the aligned parts matched(aeneas -> cue list -> cut audio -> have voice recognition detect speech -> compare to entries in cue list with a similarity algorithm).

Now, more than half misaligned is discouraging.

Currently I did not see many options to influence recognition, the parameters of the cli seem rather cosmetic in influence, barring language selection and input text type.

I would like to improve alignment, have a confidence message to be able to quickly review or discard.

The pipeline contains everything required for a confidence parameter. Also other parameters for deep control are important.

What I am deeply missing is a threshold parameter in decibel to define pauses and audio - this would eliminate premature cuts for good.

@versae
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versae commented Feb 16, 2023

Did you find any good solution to the misalignments?

@ErfolgreichCharismatisch
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Yes I did. I abandoned aeneas. Not what you wanted to hear, but that's it.

@versae
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versae commented Feb 16, 2023

I see. Are you using any other solution that provides satisfactory results?

@Errorbot1122
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What other library do you use now?

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3 participants