SDLGASFeb 5, 2021

White-box Audio VST Effect Programming

arXiv:2102.03170v11 citations
Originality Incremental advance
AI Analysis

This system significantly reduces the learning curve for audio producers trying to master complex VST synthesizers, offering a more efficient path to programming audio effects.

The paper addresses the challenge of learning to program audio production VST plugins by proposing a white-box, iterative system. This system provides step-by-step instructions for applying audio effects to transform a user's audio signal towards a desired sound, and it was successfully applied to Xfer Records Serum, demonstrating consistent useful feedback across various effects and presets.

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.

Code Implementations1 repo
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