# A Comparison of Virtual Analog Modelling Techniques for Desktop and Embedded Implementations

arXiv: https://arxiv.org/abs/2009.02833 · HTML: https://mlsanity.com/paper/2009.02833/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 6 Sep 2020.

## Built on by (most cited first, 2 of 2)

- [Comparative Study of State-based Neural Networks for Virtual Analog Audio Effects Modeling](https://mlsanity.com/paper/2405.04124/) (2024)
- [Evaluating Neural Networks Architectures for Spring Reverb Modelling](https://mlsanity.com/paper/2409.04953/) (2024)

## Abstract (arXiv)

We develop a virtual analog model of the Klon Centaur guitar pedal circuit, comparing various circuit modelling techniques. The techniques analyzed include traditional modelling techniques such as nodal analysis and Wave Digital Filters, as well as a machine learning technique using recurrent neural networks. We examine these techniques in the contexts of two use cases: an audio plug-in designed to be run on a consumer-grade desktop computer, and a guitar pedal-style effect running on an embedded device. Finally, we discuss the advantages and disdvantages of each technique for modelling different circuits, and targeting different platforms.