I am excited to finally release Data Knot, a package for Max based on FluCoMa. It’s something I’ve been developing over the last 5 years or so, the last 3 of which were under the name SP-Tools.
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.
It is made up of over 120 objects actress 13 categories spanning 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.
Continue reading “Data Knot – Machine Learning tools for low latency real-time performance”















