Creative Coding
De-Mix Audio using FluCoMa in Max
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2. Workshop Outline
Course overview
The first time I heard an example of what this algorithm can do, I was super impressed. It broke apart a mono drum loop into three tracks. One had only the snare sounds, one had only the kick drum sounds, and one had only the cymbal sounds. This sparked a lot of thinking about how I could use this for creativity. Then I found out it also can break apart and identify specific sounds in real-time audio. In this workshop I'll show you how these tools work in the FluCoMa toolkit and some of the ways I've been using it in my own work.
It's suggested that you have completed the FREE course: Using Machine Learning Creatively via FluCoMa in Max
Learning outcomes
Deconstruct real-time audio streams
Identify important sounds in real-time audio
Seed this process to help the algorithm find the sound objects we're interested in
Who is this course for?
- • Sound Designers searching for new ways of combining sounds
- • Audio Engineers intrigued by de-mixing possibilities
- • Creative artists interested in machine learning algorithms for music making
Requirements
- • A working PC, Laptop, iMac or MacBook
- • Max software
- • Download the FluCoMa Package from the Package Manager
- • It is suggested to first watch the free course Using Machine Learning Creatively via FluCoMa in Max
Course content
De-Mix Audio using FluCoMa in Max
19 videos
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De-Mix Audio using FluCoMa in Max
19 videos
1. Introduction
Checking access...2. Workshop Outline
Checking access...3. Audio Decomposition with NMF
Checking access...4. Background on Non-negative Matrix Factorization
Checking access...5. fluid.bufnmf~ Attributes
Checking access...6. Playing Activations as Envelopes
Checking access...7. Decomposing Real-time Audio Streams with fluid.nmffilter~
Checking access...8. Combining Real-time Activations and Bases
Checking access...9. More with fluid.nmffilter~
Checking access...10. Real-time Spectral Matching with fluid.nmfmatch~
Checking access...11. Creative Examples
Checking access...12. Individual Experimentation
Checking access...13. Seeding Bases
Checking access...14. Seeding Bases for Analyzing Large Files
Checking access...15. Seeding Activations
Checking access...16. Over-de-composing a Source Sound
Checking access...17. NMF for Multi-channel Spatializatio
Checking access...18. Timbre-transfer with fluid.bufnmfcross~
Checking access...19. Outro
Checking access...
Instructors
Ted Moore
Ted Moore (he / him) is a composer, improviser, and intermedia artist. He holds a PhD in Music Composition from the University of Chicago and recently served as a Research Fellow in Creative Coding at the University of Huddersfield, investigating the creative affordances of machine learning and data science algorithms as part of the FluCoMa project. His work focuses on fusing the sonic, visual, physical, and acoustic aspects of performance and sound, often through the integration of technology.