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Neural networks emulate any guitar pedal for $120

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Re: Neural networks emulate any guitar pedal for $120

#41

Post by nwatson »

ratww wrote: post #29
nonsapreiche wrote: post #15

Earlier quoted context omitted.

I wonder too, but I think the result will not be better than the samples from which you train it.

Now that you mentioned samples: I wonder if neural networks will be able to help with polyphonic note detection, so we can trigger MIDI samples using an off-the-shelf guitar or other instruments. There have been a few recent advancements lately (Boss SY-1), but even the supposedly "ideal" solutions, that require a new polyphonic pickup, are not good at all. I have a Fishman Triple Play and a plugin whose name I forgo…

In which Pat Metheny tries to replace his whole band with guitar-triggered control of real, non-guitar instruments (keyboards, drums, etc) ... "Orchestrion" ... https://youtu.be/KsYEOUKS4Yk

Re: Neural networks emulate any guitar pedal for $120

#43

Post by jdbernard »

shmageggy wrote: post #36
taneq wrote: post #20

Earlier quoted context omitted.

If you want to be pedantic it probably can't emulate a guitar pedal that you can tap a representation of a Turing machine into and it will only make a sound if the machine halts.

You can't create such a pedal in the first place, so...

Yep. Disprove the sweeping generalization by counterexample.

Re: Neural networks emulate any guitar pedal for $120

#44

Post by ushakov »

magicalhippo wrote: post #40

I recently watched a video[1] by Rhett Shull where he compared Neural Capture of a Quad Cortex[2] to real pedals. I'm not a musician, but even I could easily tell the difference a lot of the time. It didn't sound bad, but there were clearly aspects the Neural Capture failed to, well, capture. Still, early days. [1]: https://www.youtube.com/watch?v=4SSOJxZHolc [2]: https://neuraldsp.com/quad-cortex

GuitarML have a similar video as well

https://www.youtube.com/watch?v=xEOFz3UcDyA

Re: Neural networks emulate any guitar pedal for $120

#45

Post by 1996 »

notum wrote: post #38
Bancakes wrote: post #22

Earlier quoted context omitted.

Extremely expensive. Or overpriced?

I wouldn't say that. 2GB dev kit is $50 depending on where you buy them. That's much more bang for the buck, even if you opt out using the tensor cores they were designed for.

They sorely lack m2 for high throughput storage.

A board with a m2 port costs an extra $300 and only exists since last year: https://antmicro.com/blog/2020/04/updated-jetson-nano-xavier...

It should have been standard and by default from the beginning.

Re: Neural networks emulate any guitar pedal for $120

#46

Post by hashkb »

montroser wrote: post #33
Applejinx wrote: post #23

…at MP3 quality. This is fine if you like that sort of thing. I would note that latency is very important here: it's not going to be nice to play through if it's incurring any significant latency.

Yes, latency is huge. Modern digital audio stacks in consumer OSes are still completely terrible at this. Not that it's an easy problem to solve. But it's pretty hard to beat elections flowing through an analog circuit, when in the digital side you have to: convert analog to digital, run through the kernel to get to user space, run the bits through the RNN, send back to kernel space, convert to analog and finally sen…

Also, the competition is not against vintage analog gear. Modern analog gear is having a true Renaissance, and this community can afford to support the Wampler's of the world. I don't understand the modelling camp at all, their stuff just doesn't sound good, nor is there any joy in working with it.

Re: Neural networks emulate any guitar pedal for $120

#47

Post by magicalhippo »

ushakov wrote: post #44
magicalhippo wrote: post #40

I recently watched a video[1] by Rhett Shull where he compared Neural Capture of a Quad Cortex[2] to real pedals. I'm not a musician, but even I could easily tell the difference a lot of the time. It didn't sound bad, but there were clearly aspects the Neural Capture failed to, well, capture. Still, early days. [1]: https://www.youtube.com/watch?v=4SSOJxZHolc [2]: https://neuraldsp.com/quad-cortex

GuitarML have a similar video as well https://www.youtube.com/watch?v=xEOFz3UcDyA

Similar-ish but clearly very different. I noticed that in that video he was using the WaveNet model, though apparently the statefull LSTM model performs better[1]. Though even for that you can hear[2] a fairly clear difference.

[1]: https://towardsdatascience.com/neural-networks-for-real-time...

[2]: https://towardsdatascience.com/neural-networks-for-real-time...

Re: Neural networks emulate any guitar pedal for $120

#48

Post by bentpins »

montroser wrote: post #33
Applejinx wrote: post #23

…at MP3 quality. This is fine if you like that sort of thing. I would note that latency is very important here: it's not going to be nice to play through if it's incurring any significant latency.

Yes, latency is huge. Modern digital audio stacks in consumer OSes are still completely terrible at this. Not that it's an easy problem to solve. But it's pretty hard to beat elections flowing through an analog circuit, when in the digital side you have to: convert analog to digital, run through the kernel to get to user space, run the bits through the RNN, send back to kernel space, convert to analog and finally sen…

How huge is the latency? It's using Elk Audio OS, claiming 1ms roundtrip. I doubt this usage gets that low but I wouldn't be surprised if it was doing alright

Re: Neural networks emulate any guitar pedal for $120

#49

Post by notum »

1996 wrote: post #45
notum wrote: post #38

Earlier quoted context omitted.

I wouldn't say that. 2GB dev kit is $50 depending on where you buy them. That's much more bang for the buck, even if you opt out using the tensor cores they were designed for.

They sorely lack m2 for high throughput storage. A board with a m2 port costs an extra $300 and only exists since last year: https://antmicro.com/blog/2020/04/updated-jetson-nano-xavier... It should have been standard and by default from the beginning.

M2 port would have been awesome! I believe the comment stating Jetsons were expensive was made in comparison with the RPI4, which also lacks an m2 slot. I really do find Jetons much more affordable when performance is taken into account, again, Tensor aside.

They can also boot from USB3 as of recently, which boosts storage access speed tremendously.

Re: Neural networks emulate any guitar pedal for $120

#50

Post by tiborsaas »

shmageggy wrote: post #36
taneq wrote: post #20

Earlier quoted context omitted.

If you want to be pedantic it probably can't emulate a guitar pedal that you can tap a representation of a Turing machine into and it will only make a sound if the machine halts.

You can't create such a pedal in the first place, so...

The joke is that some pedals can be really complex with menu systems and all kinds of tricky jazz.
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