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cs.SD2025
Pitch-Conditioned Instrument Sound Synthesis From an Interactive Timbre Latent Space
Christian Limberg, Fares Schulz, Zhe Zhang +1
This paper presents a novel approach to neural instrument sound synthesis using a two-stage semi-supervised learning framework capable of generating pitch-accurate, high-quality mu…
cs.SD2025
Neural Proxies for Sound Synthesizers: Learning Perceptually Informed Preset Representations
Paolo Combes, Stefan Weinzierl, Klaus Obermayer
Deep learning appears as an appealing solution for Automatic Synthesizer Programming (ASP), which aims to assist musicians and sound designers in programming sound synthesizers. Ho…