Date of Award
Spring 2023
Document Type
Thesis - SCU Access Only
Publisher
Santa Clara : Santa Clara University, 2023.
Department
Computer Science and Engineering
First Advisor
Xiang Li
Abstract
In this new AI revolution, companies are creating image generation tools that are trained on millions of images to allow for text to image. However, many creators would enjoy an easy way to create music cover art generated by their songs with the colors being connected to human interpretation of sound. Chromesthesia is a medical condition which allows sound to be interpreted as specific colors based on the frequency or music note. This serverless application will function by selecting an MP3 song, uploading to the server, classifying the genre, processing other audio markers, and creating a unique image inspired by the colors a person with chromesthesia would have interpreted.
Recommended Citation
Goles, Spencer, "Generative Art Influenced by Chromesthesia" (2023). Computer Science and Engineering Senior Theses. 257.
https://scholarcommons.scu.edu/cseng_senior/257