Algorithmic Urban Composition
Algorithmic sonification of urban landscapes
Algorithmic sonification of urban landscapes through object detection and audio synthesis.
This project aims to explore the possibilities of “urban compositions” by means of mashing up urban landscapes through the algorithmic sonication process using object detection software. As the modern city has various elements (e.g. nature, buildings, and human activities), by generating sounds through the eyes of machines, we aim to aurally re-represent alternative cityscapes. Our question is how unique sounds and spaces would be created by applying urban complexity in the field of audiovisual composition.
About the Project
Algorithmic Urban Composition is an interactive music piece based on urban landscapes. The project leverages computer vision technology to analyze urban environments in real-time, converting visual elements into musical compositions. By detecting objects such as people, vehicles, buildings, and natural elements, the system generates corresponding audio responses, creating a unique auditory representation of the city’s complex dynamics.
This approach challenges our perception of urban spaces, allowing us to experience the city through a machine’s “eyes and ears,” revealing patterns and relationships that might otherwise go unnoticed.
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