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Sound synthesis and interactive algorithmic composition with machine learning in SuperCollider

Wednesday 11th May 19:00 – 21:00
This workshop takes place in Machines Room (Classroom). Address: 45 Vyner St, London E2 9DQ

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In this workshop we will explore the basics of sound synthesis and algorithmic composition with a particular emphasis on creating interactive synthesizers with machine listening techniques and aiding the composition process with machine learning algorithms. The flexible SuperCollider architecture enables exploring real-time composition from a number of different perspectives. We will be exploring the following topics:

- sound synthesis including modulation, subtractive and granular synthesis
- strategies for scheduling and timing
- building reactive synthesisers with triggers and machine listening
- introduction to composition with machine learning

Alo Allik is a sound artist who has performed his audiovisual works, electroacoustic compositions, eclectic DJ sets and live electronic music throughout the world at a number of festivals, including Transmediale, Piksel, ISEA, TodaysArt, ShinyToys, Pluto, NIME, etc.. His aesthetically and geographically restless lifestyle has enabled him to traverse a diverse range of musical worlds including DJ-ing electronic dance music, live electronic jam sessions, electroacoustic composition, free improvisation and audiovisual performances. In recent years he has been actively participating in the Algorave movement developing a style he describes as noisefunk which combines traditional rhythm patterns with evolutionary synthesis algorithms. Currently, Alo works as a researcher at the Centre for Digital Music, Queen Mary University of London, while continuing to perform his visuals and music to audiences worldwide.

website: http://tehis.net
soundcloud: https://soundcloud.com/tehis


The Music Hackspace programme is supported with public funding by Arts Council England.



What you'll learn

Course content

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