Max Programming Workshop - Machine Listening & Machine Learning for Music Making with FluCoMa

Friday, April 15, 2022 - 10:00am to 3:00pm

Friday, April 15, 2022
Prentis Hall room 320H
Workshop: 10am to noon 
Open Hacking session: noon to 3pm
Free and open to Columbia and Barnard affiliates 

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. 

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.