AudioStellar

Open source data-driven musical instrument for latent sound structure discovery and music experimentation

Downloads

Visualize your collection of short audio samples in an interactive 2D point map using machine learning technology.

Analyze resulting groups and play your samples in a novel way using various innovative music composition modes.

Explorer Unit

Explore your sound collection listening the generated map and discover latent timbric relations

Particle Unit

Emit particles using a MIDI keyboard for a granular synthesizer-like approach

Sequence Unit

Define an arbitrary sequence of sounds and traverse through latent space using distance as rhythm

Team

Machine Learning & Art Lab
MUNTREF Centro de Arte y Ciencia

Leandro Garber

Lead researcher, developer

Tomás Ciccola

Co-Investigator, developer

Juan Cruz Amusategui

Developer, OSX releases



Agustín Spinetto

Sound artist, alpha tester

Sabrina García

Intern developer

Luca Belloti

Intern sound artist



Juan Manuel Daza

Website developer

Support mailing list:

audiostellar {at} googlegroups {dot} com

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