Quad Cortex plugin support officially goes from "soon" to "eventually"

[metropolis_4]

Cortex Native

CORTEX NATIVE Trademark Application of Neural DSP Technologies Oy - Serial Number 90148626 :: Justia Trademarks

Downloadable software that models hardware, namely, devices for modeling sound amplifiers and musical instruments

trademarks.justia.com

Can I use the plugins on Cortex Native?

 

[Gearzilla]

Crazy thought for the day: cash in ToneX + HX Stomp and finally see what FM3 is all about. @Gearzilla approved?

I think if you’re into digital modeling then Fractal Audio is something that someone should try at some point. It’s good, and that way there’s a frame of reference.

For me whenever I’ve owned something from them I use Axe Edit for the lion’s share of set up. It’s really easy. Then you play. To me the editor is very straightforward, and effective.

As far as my approval goes, it goes something like this. Whatever gets someone to fiddle less and play more is my recommendation.

The strength of working with Fractal Audio is the ability to get to a tone one wants. For me that amounted to having some go to IRs with a minimum amount of adjustments(or not): boost, saturation, input level, bright switch, depth, presence, and impedance curve. Of course combined with basic amp controls.

However the modeling sounds representative of the amps even if someone doesn’t do any tweaks. It’s just that maybe you want a slightly different flavor or variations in guitars is where the variety of adjustments come in handy.

To me if you can swing an overlap while checking it out is the way to go, and after making an evaluation get rid of whatever you’re not really going to use because prolonged a/b-ing is the death of musical output by a thousand cuts.

 

[DrewJD82]

Found this in a QC User group-

 

[laxu]

Now, whether a certain device actually uses AI/ML/NN is something only the developers of said device know. However some interesting data points are available:
- It takes about 20 minutes, for example, to train ToneX using a modern GPU.
- It takes over three hours to train it using a modern CPU.
- Training time for NAM is "a couple hours" using a modern GPU.

Now the device being discussed is somehow able to train a neural network in a minute or two using a low-power DSP with no vector, AI or multi-media instructions. If you were to use this DSP to train a ToneX or NAM model, assuming it even has enough addressable memory, I would estimate training times on a scale of days. Interestingly the test tones generated by said device are remarkably similar to those used by the Kemper.

To be fair that's for the advanced training on these. You can use less advanced options which take less time. Apparently both Tonex and NAM are PyTorch based solutions.

From what I remember the test signals on the QC sounded very similar to what I hear from my 10+ year old Denon AVR1610 receiver's Audyssey room correction feature.

 

[Lysander]

Now the device being discussed is somehow able to train a neural network in a minute or two using a low-power DSP with no vector, AI or multi-media instructions.

Very interesting take.

By all accounts, the device in question is supposed to profile amps via NN training, and i never understood how they managed to make this happen in ~5min, runnning on standard SHARC+ DSPs.

 

[Fireproof]

Cortex Native

CORTEX NATIVE Trademark Application of Neural DSP Technologies Oy - Serial Number 90148626 :: Justia Trademarks

Downloadable software that models hardware, namely, devices for modeling sound amplifiers and musical instruments

trademarks.justia.com

Unbelievable.

I wonder if @Digital Igloo was already aware of this?

 

[James Freeman]

The Kemper invention is adjusting a number of parameters of an underlying amp model until the error signal is a minimum. You feed the output of the underlying model and the output of the DUT (Device Under Test) to a difference block and generate an error signal. You then adjust various parameters to minimize the error. Presumably you would use techniques like gradient descent. The hard part is determining what to measure to generate the error and devising test signals to measure that.

Machine Learning is not an infringement of that patent. It trains a neural network which is, by definition, not parametric.

Now, whether a certain device actually uses AI/ML/NN is something only the developers of said device know. However some interesting data points are available:
- It takes about 20 minutes, for example, to train ToneX using a modern GPU.
- It takes over three hours to train it using a modern CPU.
- Training time for NAM is "a couple hours" using a modern GPU.

Now the device being discussed is somehow able to train a neural network in a minute or two using a low-power DSP with no vector, AI or multi-media instructions. If you were to use this DSP to train a ToneX or NAM model, assuming it even has enough addressable memory, I would estimate training times on a scale of days. Interestingly the test tones generated by said device are remarkably similar to those used by the Kemper.

Interesting take.
Is it possible that Neural are just using far higher error margins?
The gain structure doesn't have to be spot on, most of the heavy lifting is done with shaping filters anyway.

 

[JiveTurkey]

Up next; patents for the Neural Helix.

 

[Lysander]

Up next; patents for the Neural Helix.

We'll see a Quad Cortex LT someday and i swear to god my head will pop like a baloon.

 

[GTR37]

Come on, let’s get this party started-

Add this to your list, @Digital Igloo.

Sadly he likely already knows
He said the other day there were a ton of things beyond the icons

 

[TheTrueZoltan!]

POD Cortex ™

 

[JiveTurkey]

We'll see a Quad Cortex LT someday and i swear to god my head will pop like a baloon.

 

[James Freeman]

 

[JiveTurkey]

I MEAN ITS A COMMON TERM?

 

[GTR37]

Can I use the plugins on Cortex Native?

No , but depending on how powerful your processor is you might be able to turn on the Global EQ

 

[Lysander]

No , but depending on how powerful your processor is you might be able to turn on the Global EQ

 

[James Freeman]

I MEAN ITS A COMMON TERM?

Cortex Native?

 

[fretworn]

 

[yeky83]

To be fair that's for the advanced training on these. You can use less advanced options which take less time. Apparently both Tonex and NAM are PyTorch based solutions.

What a weird "to be fair" interjection lol, that changes almost nothing about the analysis.

 

[MirrorProfiles]

not to distract from the fact that QC's UI is quite blatantly copied from Helix, calling a plugin version of something that runs on external DSP native is about the most logical thing to do, and has been done for a very long time for all kinds of software. AxeFX Native or Kemper Native wouldn't bat an eyelid. I think its fairly obvious they were always going to have a plugin version of the HW

macProVideo.com

The TC Electronic System 6000 Native plug-ins have landed and they bring the iconic British hardware mixing and mastering tools to modern producers.

www.macprovideo.com

Solid State Logic

store.solidstatelogic.com

SSL Duende Native Studio Pack Plug-in Suite

NEW Updated V6 of the SSL Duende Native Studio Pack gives you the sound of your favourite SSL equipment directly in your computer. By designing the Solid State Logic Duende V6 Studio Pack plug-ins around their already renowned EQ and Dynamics packages, SSL have opened the door for you to...

www.kmraudio.com

Lexicon PCM Native Reverb Plug-in Bundle

Finally, hardware quality without the hardware For over 40 years Lexicon has been recognized as ...

lexiconpro.com

See also - basically any plugin that used to run on TDM or AAX DSP