Machine Learning for Realtime Performance

Saturday March 30th 11am - 3pm

Presented by Rodrigo Constanzo

This workshop will introduce and explore machine learning in the context of performance and live audio input. This will specifically use and explore SP-Tools, a set of machine learning tools that are optimized for low latency and real-time performance. We will also talk about some broader machine learning concepts in the context of music making via the Fluid Corpus Manipulation toolbox and how to incorporate these into your existing workflows.

Some prior knowledge of machine learning and Max is useful but not required as will primarily be using pre-made patches and examples.

See more information about SP-Tools and FluCoMa.

Bring with you:

Further preliminary setup instructions will follow ahead of class.


Reserve here or in person.

Rodrigo Constanzo makes art.
He thinks this is an important thing to do.

The art he makes is generally smeared in time, in the form of music.
He improvises and acts as an antennae to the beauty, electricity, and endless surprise that is living a crazy life.
He composes and tries to create new sounds, interactions and behaviors that he find interesting and challenging.
He performs his own music and the music of others on a variety of instruments, with close friends.

He believes in magic. He believes in sharing things. He believes in teaching and does so at the Royal Northern College of Music in Manchester, England. He believes in openness.
He love sweet jams, and avoids speaking with a complicated vocabulary as much as possible.
He tries to live as presently and honestly as possible.
(607) 746-2003
updated 02/21/24