@Christoph-Hart said in Simple ML neural network:
@ccbl And can't you just convert the models to work in RTNeural? In the end it's just running maths and I'm not super interested in adding the same thing but in 5 variations.
I understand why you feel that way. There's no point chasing your tail every time a new NN comes on the scene. What I would say though is that since NAM has been released, I've seen at least 4 different companies bring out their own NN capture tech. And not a single one of those has taken off, all combined they have less captures publicly available than one comprehensive NAM pack on ToneHunt .
Multiple commercial companies have incorporated NAM including Melda, Amplifire, Two Notes, Audio Assualt, and Solemn Tones amongst others. AnalogueX now uses NAM to capture preamps and compressors. Past of Future also does this.
Essentially NAM has become the industry standard format for Analogue gear capture using neural networks at this point. So personally I think it would be worth implementing the NAM core tech as there's a far higher chance people are going to want to use a NAM model than any of the other tech.
Beggars can't be choosers though. I don't mean this to come across as a demand so much as trying to present a compelling case. I don't have the skills to implement this myself. I understand there's only some much time and will power a person has to dedicate to a project like this.
So I'm highly grateful for any way to incorporate NAM into the signal processing using HISE. Whether that involves conversion or native processing.