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Every Noise at Once is an ongoing attempt to document and map the sound space of contemporary music. It is a scatter-plot of musical genres, based on machine-learning analysis of Spotify data, designed to provide a navigable, explorable interface to a very large number of different scenes, styles, and subgenres. The closer any two genres are to each other, the greater the measured likelihood that a listener of one would also listen to the other.
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Every Noise at Once offers a unique way to explore the vast landscape of music genres. It visualizes the relationships between different styles, allowing users to discover new sounds and scenes.