[April 9-10]Machine Listening & Machine Learning for Music Making with FluCoMa

The Fluid Corpus Manipulation project (FluCoMa) enables musicians to integrate machine listening and machine learning in their creative practice within Max, SuperCollider, and Pure Data. In this workshop we’ll look at using neural networks to control synthesizers, programmatically analyzing and organizing large collections of sound samples, and intelligently decomposing audio files into component parts. Participants will be supported in designing and creating their own project using the FluCoMa toolkit. Intermediate Level.

DATES AND TIMES:   April 9 and April 10 from noon – 6pm

Location: Harvestworks. 596 Broadway Suite 602. New York NY 10012

Cost: Free (donations appreciated). Limited Space Available. Not available online.

Sign Up here.

The Fluid Corpus Manipulation project (FluCoMa) enables musicians to integrate machine listening and machine learning in their creative practice within Max, SuperCollider, and Pure Data (a basic knowledge is needed)

FluCoMa offers tools to separate audio into component parts including slicers and spectral decomposition algorithms, audio analysis tools to describe audio components as analytical and statistical representations, data analysis and machine learning algorithms for pattern detection and expressive dataset browsing, and audio morphing and hybridization algorithms for audio remixing, interpolating, and variation-making. 

In this workshop we’ll look at using neural networks to control synthesizers with a large number of parameters, programmatically analyzing and organizing large collections of sound samples to be explored visually or accessed programmatically, and intelligently decomposing audio files into component parts using tools such as harmonic-percussive source separation and non-negative matrix factorization. 

The workshop will be hands-on, we’ll explain concepts while coding tools together that participants can modify and expand towards their own artistic goals. Towards the end of the workshop we’ll have participants share what they’re working on and how it relates to their artistic practice. Participants are expected to bring their laptop with the latest version of the toolkit installed. Download the toolkit, converse with other users, learn more, and get in touch with us at flucoma.org.

https://www.youtube.com/watch?v=6p_R2pVSMVg

Bios

Ted Moore

Ted Moore is a composer, improviser, intermedia artist, and educator. He holds a PhD in Music Composition from the University of Chicago and is currently serving as a Research Fellow in Creative Coding at the University of Huddersfield, investigating the creative affordances of machine learning and data science algorithms as part of the FluCoMa project. His work focuses on fusing the sonic, visual, physical, and acoustic aspects of performance and sound, often through the integration of technology. Ted frequently performs on electronics using his laptop, modular synthesizer systems, resonant physical objects, lighting instruments, and video projection. As an improviser, Ted is one half of Binary Canary, a woodwinds-laptop improvisation duo alongside saxophonist Kyle Hutchins. Ted’s work can be heard on New Focus Recordings, Sideband Records, Carrier Records, and Ravello Records.

Pierre Alexandre Tremblay

Pierre Alexandre Tremblay (Montréal, 1975) is a composer and a performer on bass guitar and sound processing devices, in solo and within various ensembles. He is a member of the London-based collective Loop, and his music is released on Empreintes DIGITALes and Ora. He formally studied composition with Michel Tétreault, Marcelle Deschênes, and Jonty Harrison, bass guitar with Jean-Guy Larin, Sylvain Bolduc, and Michel Donato, analysis with Michel Longtin and Stéphane Roy, studio technique with Francis Dhomont, Robert Normandeau, and Jean Piché. Pierre Alexandre is Professor in Composition and Improvisation at the University of Huddersfield (England, UK), he anchored the Fluid Corpus Manipulation project. He previously worked in popular music as producer and bassist, and has a keen interest in creative coding.

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