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Exploring how a Generative AI interprets music

The Arts

Exploring how a Generative AI interprets music

G. Barenboim, L. D. Debbio, et al.

Discover how Google's MusicVAE interprets music, revealing fascinating insights into 'music neurons' and how they distinguish elements like pitch, rhythm, and melody. This groundbreaking research was conducted by Gabriela Barenboim, Luigi Del Debbio, Johannes Hirn, and Verónica Sanz.

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Playback language: English
Abstract
This paper investigates how Google's MusicVAE, a Variational Auto-Encoder, interprets music. The researchers analyze the latent space of the model, identifying 'music neurons' that encode musical information and 'noise neurons' that remain largely inactive. They explore how pitch, rhythm, and melody are represented within the music neurons, finding that pitch and rhythm are primarily encoded in the first few neurons, while melody becomes more apparent in independent neurons for longer musical sequences.
Publisher
Springer Nature
Published On
Jan 01, 2023
Authors
Gabriela Barenboim, Luigi Del Debbio, Johannes Hirn, Verónica Sanz
Tags
MusicVAE
Variational Auto-Encoder
Latent Space
Music Neurons
Pitch
Rhythm
Melody
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