Abstract
In our analysis, we consider five main dimensions to characterize different ways of applying deep learning techniques to generate musical content. This typology is aimed at helping the analysis of the various perspectives (and elements) leading to the design of different deep learning-based music generation systems.
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Briot, JP., Hadjeres, G., Pachet, FD. (2020). Method. In: Deep Learning Techniques for Music Generation. Computational Synthesis and Creative Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-70163-9_2
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DOI: https://doi.org/10.1007/978-3-319-70163-9_2
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-319-70163-9
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