MEANDERING RIVER is an audiovisual installation comprised of real-time visuals generated by an algorithm and music composed by an A.I. The piece reinterprets the shifting behaviors of rivers by visualizing and sonifying their impact on the surface of the earth.
The musical composition is the result of the combination of a trained Artificial Intelligence (Google Magenta Performance RNN learning model) and a custom-built procedural system. At first, the visuals were used as a graphical score for Piano players who were invited to improvise to them. By this we gained datasets to train the A.I. which generated a new musical composition. Not only to reflect the performative nature of the work but to achieve a human-like musical interpretation, we had our custom-built software analyzed and interpreted the values outputted directly from the river simulation. Thus, length, curvature and events of connections of the meandering river influenced musical composition like tempo, note strength.etc