Max Packages

Machine Learning tools for low latency real-time performance

CataRT-MuBu is a collection of Max patches for corpus-based concatenative synthesis, audio mosaicing, descriptor analysis, transcription, and composition (MuBu package required).

A collection of externals that process audio in the spectral domain.

Objects designed for the real-time automation of control parameters to compose music or improvise without the use of external controllers or hardware.

Fluid Corpus Manipulation instigates new musical ways of exploiting ever-growing banks of sound and gestures within the digital composition process -- a DSP and machine learning toolset.

Library for arbitrary-rate arbitrary-size frame processing

A set of tools for working with convolution and impulse responses in Max. This set of objects addresses various tasks, including realtime zero-latency convolution, measuring impulse responses, spectral display from realtime data or buffers, and buffer-based convolution, deconvolution and inversion.

Support for the H9000 multi-fx processor using Gen.

A framework for ecologically founded sound synthesis and design. Think of it as a virtual Foley-box!

Filtering toolbox and resources for audio, visuals, smoothing, and control.

A library of machine learning externals and feature extraction externals for Max and Pure Data. ml-lib is primarily based on the Gesture Recognition Toolkit by Nick Gillian

A collection of useful abstractions for gesture processing and building digital musical instruments.