论文标题
桌面和嵌入式实现的虚拟模拟建模技术的比较
A Comparison of Virtual Analog Modelling Techniques for Desktop and Embedded Implementations
论文作者
论文摘要
我们开发了Klon Centaur吉他踏板电路的虚拟模拟模型，比较了各种电路建模技术。分析的技术包括传统的建模技术，例如节点分析和波浪数字过滤器，以及使用复发性神经网络的机器学习技术。我们在两种用例的上下文中检查了这些技术：旨在在消费级台式计算机上运行的音频插件，以及在嵌入式设备上运行的吉他踏板式效果。最后，我们讨论了每种技术对不同电路建模和针对不同平台的优势和分散。
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.
