Abstract
We are now reaching the core of this book. This chapter will analyze in depth how to apply the architectures presented in Chapter 5 to learn and generate music. We will first start with a naive, straightforward strategy, using the basic prediction task of a neural network to generate an accompaniment for a melody.
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Briot, JP., Hadjeres, G., Pachet, FD. (2020). Challenge and Strategy. In: Deep Learning Techniques for Music Generation. Computational Synthesis and Creative Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-70163-9_6
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DOI: https://doi.org/10.1007/978-3-319-70163-9_6
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