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Classical Music Prediction and Composition by Means of Variational Autoencoders

This paper proposes a new model for music prediction based on Variational Autoencoders (VAEs). In this work, VAEs are used in a novel way to address two different issues: music representation into the latent space, and using this representation to make predictions of the future note events of the mu...

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Autores principales: Daniel Rivero, Iván Ramírez-Morales, Enrique Fernandez-Blanco, Norberto Ezquerra, Alejandro Pazos
Formato: Artigo
Lenguaje:Inglês
Publicado: MDPI AG 2020-04-01
Colección:Applied Sciences
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Acceso en línea:https://www.mdpi.com/2076-3417/10/9/3053
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