revxstd_demonstrations

Amp Head Capture

NAM

10

11

rgsson

4 days ago

Description

Demonstration of REVxSTD * 1pass_only does not have any pre_emph applied. * 2pass has been trained a second time and with pre_emph that controls higher frequencies better. Less harsh. [Development, TheGearPage] https://www.thegearpage.net/board/index.php?threads/probably-the-best-nam-quality-in-the-world-revxstd.2727799/ [LINK] https://mega.nz/folder/B0kHjYQZ#fLI0_70-QFXrf4cCO7EERA Colab training file (with instructions and steps in it), samples, etc [Github]https://github.com/38github/neural-amp-modeler I have started to implement REVxSTD and REVxLITE 1-pass training with mild pre_emph and hopefully it works. Please comment here or create an ISSUE on Github if something isn't working. Thank you goes out to SlamminMofo, 2dor, Dan Brown...

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REVxSTD Demonstration

Tags

namrevxliterevxstd

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11 Comments

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yannickguitarist
Hi! Nice job! Did you try your arch with super input (forcing model to autocorrect aliasing while training?)
1
yannickguitarist
Also I just checked your null testing and their aren’t ood (out of distribution) To make a proper null testing and compare with std and xstd please remake them with an original DI track (also avoiding sine sweeps in that part can better reflect real life cases) But good news I suspect your results would be even better. Do you have an email to talk about that? Mine is yannick.guitarist@gmail.com
0
metsi
Great to see more experimentation with the training! What are the amp models? And what are the differences/improvements over xstd?
0

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