Copyright (C) Michael Gogins
All rights reserved
http://michaelgogins.tumblr.com
michael /dot/ gogins /at/ gmail /dot/ com
This is my Git repository, intended to serve as my creative studio for computer music and other projects. All materials found herein are copyright by Michael Gogins, and are licensed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International license (CC BY-NC-ND 4.0). This permits you to download these works and share them with others as long as you credit me, but nobody is allowed to change these works in any way, or to use them commercially, without my express written permission.
You may fined online at https://gogins.github.io/ a number of pieces that run and play in a Web browser. Some of these pieces permit greater or lesser degrees of control by the user.
These are presentation slides from some talks on computer music that I have given, or plan to give. The slides are viewable in Web browsers. I call these "live talks" because the slides contain Csound pieces that run in the browser (and can be edited in the browser) without any external software being required.
Slides from a talk about algorithmic composition that I gave at the National University of Quilmes in Buenos Aires.
Slides from a talk about my implementations of csound.node, my build of Csound for WebAssembly, and my Csound for Android app.
Many of these works use Csound and extensions of Csound. These can be found in the open source csound and csound-extended GitHub repositories.
Now, to head off my recurrent distraction from composing by taking on programming projects, I am renewing my focus on the following principles:
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I need to focus on composing both out of time and in time, and on visual music.
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Simple but deep algorithms are better than powerful but complex algorithms.
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For this reason I should renew my focus on parametric composition.
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I should more deeply investigate interpolations in parametric maps, and genetic algorithms, on the parameters of such systems.
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"Simpler but deep," with visual music, could mean sampling a visual animation to produce a score, as with Scrims, or transforming a sequence of notes into a visual abstraction (not an image of the score). The former is probably preferable, especially if the sampled points are visually indicated.