Play A Kandinsky

Link to an arts and culture experiment hosted by Google sites.
From the experiment: "The composition invites users to focus their listening on seven movements defined by different visual areas of the painting.
Defining the composition in this way reflects how Kandinsky visually ‘composed’ the contrasting color and shapes of “Yellow-Red-Blue” so that the viewer’s gaze would be attracted to parts of the painting in their own unique way.
The sounds you hear in Play a Kandinsky emerged through an extensive dialog between the composers –- Antoine Bertin & NSDOS –- and the machine learning model Transformer created by Magenta, a Google Research team. The artists were inspired by music from Kandinsky’s personal phonograph collection, which was the starting point for a collaboration between the artist and machine learning exploring the relationship between sounds, color and shapes in his painting
In this project, machine learning was both a collaborator and a tool that enabled the composers to piece together the information left by Kandinsky to create a speculative experience of what he may have heard when painting “Yellow-Red-Blue” in 1925."

Dublin Core

Title

Play A Kandinsky

Date

2021-03-01

Language

Abstract

Link to an arts and culture experiment hosted by Google sites.
From the experiment: "The composition invites users to focus their listening on seven movements defined by different visual areas of the painting.
Defining the composition in this way reflects how Kandinsky visually ‘composed’ the contrasting color and shapes of “Yellow-Red-Blue” so that the viewer’s gaze would be attracted to parts of the painting in their own unique way.
The sounds you hear in Play a Kandinsky emerged through an extensive dialog between the composers –- Antoine Bertin & NSDOS –- and the machine learning model Transformer created by Magenta, a Google Research team. The artists were inspired by music from Kandinsky’s personal phonograph collection, which was the starting point for a collaboration between the artist and machine learning exploring the relationship between sounds, color and shapes in his painting
In this project, machine learning was both a collaborator and a tool that enabled the composers to piece together the information left by Kandinsky to create a speculative experience of what he may have heard when painting “Yellow-Red-Blue” in 1925."

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