About Generator

Music from nature can be very unpredictable. It is soothing at times, and not so at other times. When observed deeply, an evolving mathematical pattern is evident. Generator creates an evolving algorithm that generates sounds and visuals. Sounds and still images of the space are captured continuously at regular intervals and stored in the system. The receptary of time stamped material is used to determine a historic memory of the space which forms an underlying ancestral layer. This combines with the most recent materials along with a real-time analysis of sound levels to compile the generated ambience. As nature evolves and produces ambience for its surrounding, Generator grows by surveilling its location and generates ambience for the space from the space.

Generator is developed by Shahee Ilyas for the third thematic project of MA Media Design, Piet Zwart Institute lead by Kristina Anderson.

Click this link to view clips most recently generated clips using live sounds and images collected during the installation