The Variational Autoencoder (VAE) has proven to be an effective model for producing semantically meaningful latent representations for natural data. However, it has thus far seen limited application to sequential data, and, as we demonstrate, existing recurrent VAE models have difficulty modeling sequences with long-te…
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2 results for “musicVAE”
Model creates a latent space for multitrack music measures.
problem Representing and exploring the structure of polyphonic music.
method Extended MusicVAE to a latent space, enabling various operations.
result Model can generate, interpolate, and manipulate musical measures.