<p> To create algorithmic art with documents available on the internet, artists must discover strategies for organizing those documents. In this project I used a graph structure based on Melissa Schilling's model of cognitive insight to reorganize sounds on the web using aural and lexical relationships. I was then able to generate music with these graphs using several different activation strategies. In section one I introduce my goals for this project. In section two I review other approaches to this problem and art that has influenced my approach. In section three I demonstrate techniques for organizing and collaging sounds from freesound.org. Sounds can be organized in a graph structure by exploiting aural similarity relationships provided by freesound.org, and lexical relationships provided by wordnik.com. Music can then be generated from these graphs in a variety of ways. In section four I show how my software was inspired by theories of creativity. Specifically I show how my software is an illustration of Melissa Schilling's graph model of cognitive insight. In section five, I elaborate on the pieces I've generated for this dissertation using this software and several other novel sound generating programs.</p>
| Identifer | oai:union.ndltd.org:PROQUEST/oai:pqdtoai.proquest.com:3609658 |
| Date | 01 March 2014 |
| Creators | Merz, Evan X. |
| Publisher | University of California, Santa Cruz |
| Source Sets | ProQuest.com |
| Language | English |
| Detected Language | English |
| Type | thesis |
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