White-box Audio VST Effect Programming
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Abstract (arXiv)
Learning to program an audio production VST plugin is a time consuming process, usually obtained through inefficient trial and error and only mastered after extensive user experience. We propose a white-box, iterative system that provides step-by-step instructions for applying audio effects to change a user's audio signal towards a desired sound. We apply our system to Xfer Records Serum: currently one of the most popular and complex VST synthesizers used by the audio production community. Our results indicate that our system is consistently able to provide useful feedback for a variety of different audio effects and synthesizer presets.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 4 of its 13 references that are in the map. First posted on arXiv 5 Feb 2021.
Builds on
4 of 13 references.
References · 4
- 2020DDSP: Differentiable Digital Signal Processingcited by 178
- 2018Deep Learning for Tube Amplifier Emulationcited by 18
- 2018InverSynth: Deep Estimation of Synthesizer Parameter Configurations from Audio Signalscited by 11
- 2019A Feature Learning Siamese Model for Intelligent Control of the Dynamic Range Compressorcited by 7
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