Imagine taking a legendary amplifier, feeding it every possible input signal (from clean picking to heavy chugging), and recording the output. A Neural DSP tool "learns" the relationship between the input and output by analyzing this data. It essentially captures the harmonic distortion, dynamic response, and tonal character of the hardware by studying its behavior, much like a human ear learns to recognize the subtle nuances of a specific instrument.
A generic Neural DSP Tool consists of three modular components:
The X update introduced:
Reality: Neural modeling is actually less CPU-intensive than complex convolution reverbs. A 2015 MacBook Pro can run 8 instances of Archetype: Petrucci simultaneously.
Legacy companies release bug fixes. Neural DSP releases features that change how you play.
