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Query-based Deep Improvisation
2019
Zenodo
In this paper we explore techniques for generating new music using a Variational Autoencoder (VAE) neural network that was trained on a corpus of specific style. Instead of randomly sampling the latent states of the network to produce free improvisation, we generate new music by querying the network with musical input in a style different from the training corpus. This allows us to produce new musical output with longer-term structure that blends aspects of the query to the style of the
doi:10.5281/zenodo.4285264
fatcat:gmamnhnaprhhzgye7bzftk4npe