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Read More »Neural Proxies for Sound Synthesizers: Learning Perceptually Informed Preset Representations
arXiv:2509.07635v1 Announce Type: cross Abstract: Deep learning appears as an appealing solution for Automatic Synthesizer Programming (ASP), which aims to assist musicians and sound designers in programming sound synthesizers. However, integrating software synthesizers into training pipelines is challenging due to their potential non-differentiability. This work tackles this challenge by introducing a method to approximate arbitrary synthesizers. Specifically, we train a …
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