Artificial Aviary

2019

Physical Computing | Machine Learning | Audio Reactive

Artificial Aviary is a computer that uses machine learning to identify the various types of urban noise pollution and respond to them by generating birdsongs.

What started as a response to the sounds of my daily surroundings evolved into a commentary on the soundscape of urban living. Whilst the idea is simple in nature, beneath the surface the project acts as a critique of the state of living existing in a vast number of places. It provokes us to stop and reflect on the direction our environment is heading in and why the idea resonates in the present day.
Media: JavaScript, TensorFlow.js, Raspberry Pi and Premiere Pro

Process





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BBC Habitat

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Mark