They are both json files
Any ideas on how to convert from AIDA to NAM?
It would also be possible without too much effort to convert most Aida models
Would it be possible to convert NAM models to AIDA-X?
sorry but why we can’t simply work together in exporting the weights into an RTNeural compatible format??? We started this very same conversation a while ago New neural lv2 plugin from Aida DSP based extensively on existing NeuralPi, reduced to the bone - #152 by madmaxwell. To me it would just make a lot of sense: RTNeural is more powerful and offers a backend agnostic structure that will be really useful in future: for now it supports eigen and xsimd. The xsimd backend is performing better, it’s just that atm on specific Dwarf toolchain (MPB) is producing a plugin that would generate crackling noises, so we stick with eigen for now to be safe. But on other platforms, such Aida DSP OS, the plugin runs without issues when builded with xsimd backend.
In a nutshell, I’m simply asking why we can’t just make a script to export output of nam training to RTNeural format and as a consequence they will be compatible with AIDA-X
WaveNet “nano” will result in a higher quality model
This will also use 66% CPU on Dwarf correct?. At the same time, the current NAM lstm nano architecture uses MSE as loss function and a simple high pass filter as pre-emphasis filter
"val_loss": "mse",
"mask_first": 4096,
"pre_emph_weight": 1.0,
"pre_emph_coef": 0.85,
while on AIDA-X training we’re using ESR and A-Weighting plus low pass, which according to our tests produce models that sound better.
I think finally organize a call to better sync efforts between teams would really help both us and community, since it’s obvious to me that we’re doing the same thing twice, with pro/cons on either sides. Since we’re both fully open source I really have no clue why we couldn’t do that.