Using AI to create patches

Discussion in 'Working with Sound' started by Crinklebumps, Jun 28, 2025 at 9:06 AM.

  1. Crinklebumps

    Crinklebumps Audiosexual

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    So, I got into a 'conversation' with CoPilot about Tonex and it asked me if I wanted it to guide me to make a particular sound - I'd read that the Satriani presets were good for jazz guitar. I said ok and it walked me through the parameters, saying why each setting worked for that particular tone. I tried it again for Amplitube for a Tony Iommi sound and again, it was comprehensive. I haven't actually tried dialling these in but I suspect they will be in the ball park - too many variables for a real 1 to 1 sound. I guess this will work for any hardware device, synth or guitar effects processor and any plugin, for anything. Seems like a great starting off point instead of mindlessly scrolling through thousands of presets.
     
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  3. tzzsmk

    tzzsmk Audiosexual

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  4. shinyzen

    shinyzen Audiosexual

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    yes, AI is great at this sort of thing. I use chatgpt for synth recipes, as well as tone recipes. It knows everything there is to know about recording techniques. You can say something like " i need you to tell me the exact methods the Beatles used to make Revolver. Be as thorough as possible, include what equipment was used in all parts of the signal chain, what their mic-ing techniques were, how was the room treated, any settings for hardware or instruments, etc. Only include factual information, do not speculate or improvise."
     
  5. clone

    clone Audiosexual

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    you can upload a text of your entire plugin inventory to chatgpt, save it, and then get it to do some pretty complex stuff like this, but with channel strip chains, ideas for routing, etc. It is definitely worth giving it a try, no matter how well you already know your stuff. I had not thought about using it for synths, but i'm going to give that a try now too. I wonder if it can create text patch sheets from pictures taken of analog synths.
     
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  6. PulseWave

    PulseWave Rock Star

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    That’s a solid observation! AI like Copilot (or me) can break down the parameters for specific tones, like Satriani’s jazz guitar or Iommi’s heavy doom sound, by analyzing the characteristics of those tones and mapping them to the controls of tools like ToneX or AmpliTube. It’s a smart starting point—way more efficient than aimlessly scrolling through presets. For hardware like synths or guitar effects processors, or even plugins, the same logic applies: we can suggest settings based on the desired sound profile, factoring in things like gain, EQ, modulation, or resonance that define the artist’s tone.

    You’re right that nailing an exact 1:1 sound is tricky due to variables—gear, playing style, signal chain, even room acoustics. But getting in the ballpark with guided parameters is a huge time-saver. If you want, I can walk you through settings for a specific tone on ToneX, AmpliTube, or any other gear—say, a particular artist or genre. For example, Satriani’s jazz tone on ToneX might lean on a clean amp model like a Fender Deluxe, with moderate gain, boosted mids, and a touch of reverb for airiness. Want me to dive into a specific setup for you to try? Or maybe explore another artist’s sound, like Iommi’s Sabbath crunch?
     
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