"For a hundred bucks, you could buy one of the company's plugins and sound like a guitar god with a $10,000 recording chain of amps, cabinets, effects pedals, and microphones."
"While the company's plugins could each replace one entire pedalboard of gear-plus a few amps and cabs-the Quad Cortex could replace a Guitar Center-sized warehouse of devices, offering hundreds of amps, cabs, and effects."
"Machine learning offered a faster way, one that didn't care about the circuit at all. What it cared about was the input signal (which was known) and the output signal (which contained all the changes imposed on the signal by the circuit, the speaker, the cabinet, and/or the mic in question)."
Neural DSP, a Finnish company founded in 2017 by Chilean immigrants, won a best-of-show award at NAMM 2024 for its innovative approach to guitar gear modeling. The company specializes in machine learning and impulse response technology to create realistic digital replicas of guitar amplifiers, cabinets, and effects. Its software plugins cost around $100 and can replicate expensive recording chains worth thousands. In 2020, Neural expanded into hardware with the Quad Cortex, a floor-based unit with footswitches that contains hundreds of amp, cabinet, and effects models. Machine learning accelerates gear modeling by analyzing input and output signals rather than reverse-engineering circuits, enabling rapid creation of high-quality digital models.
Read at Ars Technica
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