Music generation with variational recurrent autoencoder supported by history
Keyword(s):
Abstract A new artificial neural network architecture that helps generating longer melodic patterns is introduced alongside with methods for post-generation filtering. The proposed approach, called variational autoencoder supported by history, is based on a recurrent highway gated network combined with a variational autoencoder. The combination of this architecture with filtering heuristics allows the generation of pseudo-live, acoustically pleasing, melodically diverse music.
2019 ◽
Vol 29
(11)
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pp. 113125
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2005 ◽
Vol 117
(4)
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pp. 2441-2442
2007 ◽
Vol 54
(1)
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pp. 61-76
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