File:Paz Ivan McAndrews David 2021 Live Coding Machine Learning.pdf
Paz_Ivan_McAndrews_David_2021_Live_Coding_Machine_Learning.pdf (file size: 73 KB, MIME type: application/pdf)
Summary[edit]
The digital nature of live coding brings new algorithmic possibilities to the core of the new instruments that are emerging alongside new technologies. At the time of writing these lines, machine learning is being explored within live coding. While most early live coding performances used simple sound generators and processors, such as sine waves, filters, etc., today it is increasingly common to hear performances, even those starting from scratch, using machine learning to perform specific tasks. This manuscript reflects on the implications that the use of machine learning algorithms has in live coding practice.
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| Date/Time | Dimensions | User | Comment | |
|---|---|---|---|---|
| current | 13:00, 21 February 2021 | (73 KB) | Ivan-paz (talk | contribs) | The digital nature of live coding brings new algorithmic possibilities to the core of the new instruments that are emerging alongside new technologies. At the time of writing these lines, machine learning is being explored within live coding. While most early live coding performances used simple sound generators and processors, such as sine waves, filters, etc., today it is increasingly common to hear performances, even those starting from scratch, using machine learning to perform specific t... |
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