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By loading audio samples from traffic in maxMSP, analyze them via Flucoma (AI) , we can put them in a virtual field that matches the sample properties.
This virtual audio field can be used as a samplebank for in-car audio.
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Loading audio samples from traffic in maxMSP, analyze them via Flucoma (AI)
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FluCoMa
The Fluid Corpus Manipulation project (FluCoMa) instigates new musical ways of exploiting ever-growing banks of sound and gestures within the digital composition process, by bringing breakthroughs of signal decomposition DSP and machine learning to the toolset of techno-fluent computer composers, creative coders and digital artists.
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segment a sound file and analyse each segment with the Loudness and
SpectralShape and visualize them in a two-dimensional corpus.
This creates a visual space that can be navigated by driving through them
in our VR prototype (or a mouse in the example above).
Motivation for making a patch like this
Explore a relatively unknown collection of sounds in a visual space
Exploit the sample’s spatial positioning for creative inspiration
Inform your selection of materials in real-time, such as for improvisation
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