These works are sonifications of digital images through computer programming. Students enrolled in two Computing in the Arts (CITA) courses selected beautiful or compelling images and then designed a set of musical parameters through which these images could be realized in sound. Musical parameters included pitch and scale, dynamics, timbre, and instrumentation. Inspiration and models were drawn from musical traditions such as Minimalism, Jazz, Rock, Serialism, and Aleatory Music. Students were free to select different parts of the image for specific musical functions. Not all parts of the images were necessarily sonified, yet most of the sound comes from numeric data (pixels) inside these images. Changes in sound reflect a scanning of the image from left-to-right, up-to-down, center-to-corners, or diagonally. Sometimes sound comes from averaged regions of the image, and at other times complex sequencing rules are used, like those found in Living Systems.
In the end, visual, musical, and algorithmic processes become intimately intertwined. None is subservient to another. Through these works, the visual, aural, and algorithmic become one.
Student artists were part of the Fall 2011 "Computer Music and the Quest for Beauty" Freshman Learning Community.
Students: Daniel Anderson, Caroline Bowman, Marissa Croop, Jordan Freeman, Forrest Hammond, Kenneth Hanson, Hudson Jones, Elizabeth Koury, Katherine May, Sam McCants, Stephen Rainey, John Thevos, and Dylan Walsh.
Faculty: Bill Manaris (Computer Science), and Blake Stevens (Music)
Exhibition Coordinator: Jarod Charzewski (Studio Art)
This work has been funded in part by the National Science Foundation.