One thing i have in my mind is outputting the individual strings to allow individual effects on them. The plugin does internally a form of (very rudimentary) harmonic source separation. However to do this I need to implement some machine learning.
I’m investigating anyhow in how to identify the frets being played with neural nets. That’s a precursor to the string separation.
Once I have the fret identification working, that info could be output in some form
great to see this @jimsondrift it seems pretty promising!
Wouldn’t you be up to releasing a test version for the MOD so that the MOD community could eventually help you with feedback and bug reporting?
id like to but the plugin it too compute heavy currently. Ill will produce a release for linux soon though. The issue I am facing is that I am lacking nvme storage, i have only 3tb and need more of it to train the model
and the prices are too high thanks to uncle sam and his tech bros.
Thats a good idea. Im planning to release a Version for linux after the current training round. Then ill reach out to the community to port it to the dwarf
it would be a great practice session if you were required to actually live-play all that time
Maybe the way to finance the project would be a guiness award of most time playing guitar non-stop and at the same time, you would train the system
It works on Debian13 with guitarmidi-lv2_2.0_ubuntu2404_amd64.deb, though I mistakenly set buffer size as 128 on MOD Desktop at first.
I could successfully build from source too.
However, when I tried building the Windows version with PawPaw, the build failed because pango could not be found.
It would be great if Windows MOD Desktop users could use it as well.
By the way, what’s the difference between ubuntu2404.deb and ubuntu2604.deb?