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tuanad121 opened this issue Aug 5, 2017 · 3 comments
Open

How to prepare data for training #1

tuanad121 opened this issue Aug 5, 2017 · 3 comments

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@tuanad121
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tuanad121 commented Aug 5, 2017

Is there any instruction about prepare the training data?
Thanks for spending your time on my issue.
I appreciate it.

@ljuvela
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ljuvela commented Aug 5, 2017

I uploaded some pre-packaged data to
https://drive.google.com/open?id=0B5M0_b2kZdj6MVFCU2JpX1NON0U

The tools we used for data extraction are included in our soon-to-be-released GlottDNN vocoder. I'll make sure to update here once the code is out.

It's also feasible (but a lot of work) to build a data extractor yourself. You would first need
1) A glottal inverse filtering method
2) Pitch marks (glottal closure instants)
Some openly available tools for that can be found here:
https://github.com/covarep/covarep/tree/master/glottalsource

Second, you would need to window the target signals for neural net output. See this paper (especially Fig. 2) on how to do that.
https://www.researchgate.net/publication/298710465_High-pitched_excitation_generation_for_glottal_vocoding_in_statistical_parametric_speech_synthesis_using_a_deep_neural_network

Hope this helps!

@tuanad121
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tuanad121 commented Aug 5, 2017

I uploaded some pre-packaged data to

Great, I appreciate it.

The tools we used for data extraction are included in our soon-to-be-released GlottDNN vocoder. I'll make sure to update here once the code is out.

It's nice. Hopefully, it has python (or matlab) version ^^

I will follow your instructions. Thanks for your help.

@licktion
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licktion commented Mar 9, 2018

@ljuvela Just curious about if your GlottDNN vocoder has been released or not? Thanks!

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