For our lovely guitarists (including myself):
A plugin for emulating amps based on neuronal networks.
2 Likes
Long live the “pizzica strings” 
Has anyone tried building this on Zynthian?
Yes, or maybe I should say, “it’s complicated” - see this topic for all the gory details:
Hi,
That thread is for NAM. I am referring to AIDA, a similar product but it’s mod-ui native and meant to be less processor demanding. See the link at the top of the thread.
Cheers
Ah, I see, sorry for the confusion.
1 Like
The pre-compiled plugin does not work on Zynthian due to a dependancy on GLIBC_2.29. Zynthian is currently running on Debian 10 (Buster) which is quite old. (See other thread / issue tracker for discussion on moving to V11 Bullseye or (preferably) V12 Bookworm.) I think I tried to compile this before and failed for a similar reason (unmet dependency) but I don’t have a record of that so will try again.
I have now compiled and tested on a Zynthian. The good news is that it works! The UI shows on the remote desktop (if VNC is enabled) and the controls seem to operate as expected. The bad news is that it uses about 85% of available CPU (85% of each core) running on an overclocked (2GHz) Zynthian which is a lot! It doesn’t go down much when the effect is in bypass. I didn’t hear it xrun which is good so maybe it can just about be used by itself and I only used the provided default simulation so maybe a lighter model might also help but I am not convinced this is any more efficient than NAM.
2 Likes
Cool, thank you for taking the time to test this.
The results are a bit disappointing though, I was hoping it would perform better than that. It might just be an issue with Buster though, from what I understand, the device the people that make AIDA sell, which is called Dwarf, is roughly the same performance as a Pi4.
Thank you again for taking the time to compile an test.
1 Like
Yes, there is a performance boost with a 64-bit OS which we plan to move to. Also, Zynthian itself could improve its efficiency to reduce the CPU cycles and JACK process time that it occupies. We are working on that. From my limited testing today I would say that a RPi4 with little else running could cope with this plugin alone. It could probably run without xruns. It may also be able to run a few other lightweight plugins. Indeed, it is probably possible to run this plugin on a V5 Zynthian with little else going on. Also, there may be lighter simulations. The test I did had both cab and amp simulations although the plugin worryingly used almost 80% CPU when bypassed so maybe there is an issue that could be resolved upstream. I like the look of it and it would be nice if it worked. I am a guitarist so maybe I could be tempted to investigate further but I make no promises as I am very busy with other stuff…
1 Like
No worries. That sounds promising.
They are talking about RPi4s being back in stock in the second half of 2024. I’m hoping there is a new PI coming with increased performance as well. That would make this kind of projects more viable.
Cheers
1 Like
Hi, are you talking about NAM or AIDA-X? I need AIDA-X compiled for Zynthian. I tried to load the compiled version from Patchstorage but I get
Jul 11 15:52:21 zynthian jackd[452]: lilv_lib_open(): error: Failed to open library /zynthian/zynthian-plugins/lv2/rt-neural-generic.lv2/rt-neural-generic.so (/lib/arm-linux-gnueabihf/libm.so.6: version `GLIBC_2.29' not found (required by /zynthian/zynthian-plugins/lv2/rt-neural-generic.lv2/rt-neural-generic.so))
My description above is of AIDA-X. It can be compiled but barely works on Zynthian.
2 Likes