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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

#121

Post by lasftew »

wintermutestwin wrote: post #116
duosonic wrote: post #85

Honest question: if you're a musician, what is the appeal of digital modeling? Is it purely affordability/accessibility, or are you drawn to it because it would create different sonic possibilities that you couldn't get from the original?

>are you drawn to it because it would create different sonic possibilities that you couldn't get from the original That's my primary motivation. On my AxeFx, I have signal chains that are impossible with real gear. If I want to tweak that chain, it is a couple clicks of a mouse. I have four expression controllers and 10 foot switches that are tied to different parameters. I can tweak this functionality on the fly. Al…

I deliberately bought quite a limited but good sounding 4W tube amp for bedroom practice (Vox AC4). Having only a handful of easily understood knobs allow me to focus on my playing.

I have had modeler amps in the past, but every so often I'd just nerd away with the dozens of available amp models and the myriads of settings, and come out with the dissatisfied feeling of having just wasted a lot of time instead of engaging with music.

I find modelers have their place when it comes to replacing a set of analogue pedals, which is the reason I traded my three Boss pedals (compression, reverb, delay) for a Boss GT-1000Core. Overkill for my purpose, as I really never use any amp sims, cab sims, of any of the advanced signal chain stuff that the device is capable of. I just have one patch with my three pedals for practice, going into the AC4, occasionally turning the same knobs as on the analogue versions, but enjoying that I now have built-in a tuner as well :-)

Re: Neural networks emulate any guitar pedal for $120

#122

Post by patfla »

I stopped reading at the first sentence:

"It’s a well-established fact that a guitarist’s acumen can be accurately gauged by the size of their pedal board- the more stompboxes, the better the player."

As both a software engineer and a guitarist, I'd say the opposite is true. Or at least truer. You can't do math-rock without a lot of pedals but the hard part is to acquire the chops. A lot of pedals, and production effects generally, quickly become cliches and it's like dropping down a musical black hole. Someone like Hendrix could take a new effect (superset of pedals) and make it work musically brilliantly but most pedal users buy the pedal to get someone else's sound.

Re: Neural networks emulate any guitar pedal for $120

#123

Post by ushakov »

patfla wrote: post #122

I stopped reading at the first sentence: "It’s a well-established fact that a guitarist’s acumen can be accurately gauged by the size of their pedal board- the more stompboxes, the better the player." As both a software engineer and a guitarist, I'd say the opposite is true. Or at least truer. You can't do math-rock without a lot of pedals but the hard part is to acquire the chops. A lot of pedals, and production eff…

don’t take it too literally, i’m pretty sure this was meant as a sarcastic joke by the author :D

Re: Neural networks emulate any guitar pedal for $120

#124

Post by awsanswers »

patfla wrote: post #122

I stopped reading at the first sentence: "It’s a well-established fact that a guitarist’s acumen can be accurately gauged by the size of their pedal board- the more stompboxes, the better the player." As both a software engineer and a guitarist, I'd say the opposite is true. Or at least truer. You can't do math-rock without a lot of pedals but the hard part is to acquire the chops. A lot of pedals, and production eff…

I believe that was sarcasm

Re: Neural networks emulate any guitar pedal for $120

#125

Post by patfla »

ushakov wrote: post #123
patfla wrote: post #122

I stopped reading at the first sentence: "It’s a well-established fact that a guitarist’s acumen can be accurately gauged by the size of their pedal board- the more stompboxes, the better the player." As both a software engineer and a guitarist, I'd say the opposite is true. Or at least truer. You can't do math-rock without a lot of pedals but the hard part is to acquire the chops. A lot of pedals, and production eff…

don’t take it too literally, i’m pretty sure this was meant as a sarcastic joke by the author :D

Maybe I should have read past the first sentence. The joke's on me.

Re: Neural networks emulate any guitar pedal for $120

#126

Post by 52-6F-62 »

Applejinx wrote: post #61
hashkb wrote: post #42

Can any skeptics weigh in? To me, this kind of tech is centuries away from fooling tone hounds.

Not much need to (or benefit in doing so). If you're somebody like AnalogMan, building pedals with careful selection of NOS transistors wired point-to-point, this is so utterly not a threat to you. I've seen entirely analog circuits designed and built with the PCB parts and techniques used in these devices, that are miles away from the quality of good pedals, without even being digital or modeling at all. I'm sure th…

> You can also think of it as learning to rely on secret weapons

Case in point: the old Neve desks

Re: Neural networks emulate any guitar pedal for $120

#127

Post by Applejinx »

keyth72 wrote: post #91
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.

...At mp3 quality As the creator of this project I can assure you that the audio used here is at least CD quality (44.1kHz 16bit). With the HiFiBerry hat the digital audio comes in at 24bit/192kHz. The NeuralPi DSP processes the audio at 44.1kHz with 32 bit floating point precision. No reason the sample rate can’t be higher though. Elk OS claims latency is less than 1ms, but I’d like to test and see exactly what the…

No worries, not worth throwing anything at you. Carry on <3

Re: Neural networks emulate any guitar pedal for $120

#128

Post by pier25 »

patfla wrote: post #122

I stopped reading at the first sentence: "It’s a well-established fact that a guitarist’s acumen can be accurately gauged by the size of their pedal board- the more stompboxes, the better the player." As both a software engineer and a guitarist, I'd say the opposite is true. Or at least truer. You can't do math-rock without a lot of pedals but the hard part is to acquire the chops. A lot of pedals, and production eff…

If it wasn't obvious this was a joke, the following paragraph starts with:

"Jokes aside..."

Re: Neural networks emulate any guitar pedal for $120

#129

Post by texasbigdata »

musicale wrote: post #115

For analog pedals, I'd expect better results from circuit modeling. Given the wide (and very non-linear) range of settings of a typical pedal, as well as interaction (impedance, etc.) with a real guitar and amplifier, it seems like it would be a pain to get all of the training data. For a digital pedal, running the actual (e.g. Eventide) DSP code is just going to be better than some ML approximation. On the other han…

Neural DSP sounds pretty good to me, and they’re new.

Source: https://youtu.be/MhnkGMBn1tw

Re: Neural networks emulate any guitar pedal for $120

#130

Post by throayobviousl »

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…

seems like you never used an Axe Fx
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