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arXiv · 1705.05458

Music generation with variational recurrent autoencoder supported by history

Ivan P. Yamshchikov·Alexey Tikhonov
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Abstract

A new architecture of an artificial neural network that helps to generate 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. Combination of this architecture with filtering heuristics allows generating pseudo-live acoustically pleasing and melodically diverse music.

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Ivan P. Yamshchikov, Alexey Tikhonov. 2017-05-15. Music generation with variational recurrent autoencoder supported by history. https://doi.org/10.1007/s42452-020-03715-w

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