Showing 4 out of 4 results


Craftsmanship: Code, Guitars & Tech

Writing music, building guitars and writing software share more similarities than one would imagine at first. Kevlin Henney, an independent consultant, chats with Dylan Beattie, creator of the Rockstar programming language, and Hannes Lowette, head of learning & development at Axxes, about the craftsmanship and creativity that is required from them. They showcase Hannes’ self-made guitar, the importance of making decisions at the right point in time or how there isn’t a default for solving problems in either of these domains, but rather a personalized and evolving approach.

July 5, 2022

Sam Aaron’s Sonic Pi Can Help You Make Music Through Code

Unleash your creativity with Sam Aaron's Sonic Pi! This user-friendly tool lets you code and create music simultaneously. Start composing your own tunes!

March 6, 2023

Get Ready to Rock with Sonic Pi - The Live Coding Music Synth for Everyone

Sonic Pi is an environment for live coding music that targets both education and professional musicians. In this demo-heavy talk we’ll cover its history - why it was created, how it evolved and what it can do today. We’ll also take a quick technical nose dive into some of the more interesting linguistic innovations that were necessary to perform live with code. For example, we’ll see how we can rhythmically sync multiple threads, use lexical blocks to close over time, accurately sleep without drifting and deterministically manipulate global state concurrently. Expect noise!


A Composer’s Guide to Creating with Generative Neural Networks

While generative text and image models like ChatGPT and DALL-E2 have garnered popular attention, generative music creation has only begun to blossom. This talk will focus on a case study of an independent composer navigating the infrastructure and coding challenges of building, optimizing, and training a deep learning model for audio generation for use in her own compositions. Molly Jones, a composer and software engineer, attempts to develop creative work that is aesthetically, conceptually, and ethically sound while addressing problems of data augmentation, solo coding, and limited resources. The case study does not offer immediate solutions to the problems faced by independent artists but rather a catalog of areas for future research aimed at easing the use of deep learning models in creative contexts. Molly is an Associate Software Consultant at Spantree, LLC, and a Composer in Residence at the University of Toronto, where she explores the intersections of AI and music.