English

White-box Audio VST Effect Programming

Sound 2021-02-08 v1 Machine Learning Audio and Speech Processing

Abstract

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.

Cite

@article{arxiv.2102.03170,
  title  = {White-box Audio VST Effect Programming},
  author = {Christopher Mitcheltree and Hideki Koike},
  journal= {arXiv preprint arXiv:2102.03170},
  year   = {2021}
}

Comments

The latest version of the system is to appear at EvoMUSART 2021 as a full paper. Audio samples of the latest system can be listened to at https://bit.ly/serum_rnn

R2 v1 2026-06-23T22:52:24.436Z