Data Knot is a set of machine learning tools that are optimized for low latency and real-time performance. The tools can be used with any type of audio input, including optimizations for Sensory Percussion sensors and ordinary drum triggers.
Data Knot includes low latency onset detection, onset-based and real-time descriptor analysis, classification and clustering, regression and prediction, corpus analysis and querying, synthesis and modeling, audio, data, and CV processing, and a slew of other abstractions that are optimized for low latency applications.
Data Knot is built around the FluCoMa Toolkit and requires v1.0.8 or higher to be installed for this package to work.
You can download the current version on the Max Package manager or follow the project on GitHub.
You can join the Data Knot Discord server to keep up on future updates/news as well as make suggestions, share corpora and musical examples etc…
Special thanks to:
PA Tremblay, Alex Harker, Owen Green, James Bradbury, Pete Dowling, Ted Moore, Jordie Shier, Tim Loderhose, Joe Steccato, Francesco Bigoni, and all the people who suggested ideas and helped test things on the Discord server.