Implicit neural differentiable FM synthesizer
The purpose of this project is to emulate arbitrary sounds with FM synthesis, where the parameters of the FM synth are learned by optimization. This idea was conceived and implemented during the Neural Audio Synthesis Hackathon 2021. Thanks to Ben Hayes for organizing the workshop and to Mia Chiquier for pointing me towards SIREN! Architecture Please refer to FMNet and Envelope in synth.py for the actual architectural details. This model takes as input a list of time steps t_1, t_2, […]
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