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What machine learning algorithms to use to emulate audio amplifiers?
I would like to digitize a guitar amplifier, the main goal is to achieve the maximum possible match between the output sound of the emulator and the real amplifier, with all possible settings and regardless of the guitar model at the input. I would like to know where to start digging, your recommendations, including about algorithms, learning methods, and also which specialists should be involved in this task besides programmers?
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