Open source, real-time digital clone of the TS-9 guitar pedal using machine learning (with video demo) — Analog is king in the world of guitar effects, but digital modelling has come a long way to replicate it. Detailed circuit analysis and mathematical equations can recreate the sound of many of these devices, from tube amplifiers to overdrive circuits to spring reverb. …

How difficult would life be if every new thing had to be learned from scratch? …

This article answers some commonly asked questions about the modelling methods in GuitarML’s projects and demonstrates the results of several amp/pedal captures. The limitations of these techniques are also explained. To return to the main GuitarML website, click here What is GuitarML? GuitarML uses machine learning to model real amps and pedals. The…

This is the last of a five-part series on using neural networks for real-time audio. For the previous article on Stateful LSTMs, click here. In this article we will go step-by-step to build a functional guitar pedal running neural nets in real-time on the Raspberry Pi. We have now covered…

This is the fourth of a five-part series on using neural networks for real-time audio. For the previous article on Stateless LSTMs, click here. — We will revisit the LSTM for our last neural net model. This time we will use the stateful version and make use of its recurrent internal state to model the Blackstar HT40 guitar amplifier. For a quick refresher; LSTMs (Long Short-Term Memory) are a type of recurrent neural network commonly…

A few years ago I stumbled on a simple way to de-stress. You can do it anywhere, as long as you have the common office supply known as the post-it note. It’s as simple as it sounds. …

This is the third of a fIve-part series on using neural networks for real-time audio. For the previous article on WaveNet, click here. In this article we will model a guitar amplifier using a Stateless LSTM neural network in real-time. The LSTM model, which stands for “Long Short-Term Memory”, was…

This is the second of a fIve-part series on using neural networks for real-time audio. For the previous Introduction article, click here. In this article we will model a guitar amplifier using WaveNet in real-time. WaveNet was developed by the firm DeepMind and presented in the 2016 paper Wavenet: A…

This is the first of a fIve-part series on using neural networks for real-time audio. Artificial intelligence impacts our lives more each day, whether we are aware of it or not. From social media feeds to online shopping to self driving cars, A.I. is changing the way we live and…