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Deep Learning Techniques for Music Generation pp 243–249Cite as

Discussion and Conclusion

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Part of the book series: Computational Synthesis and Creative Systems ((CSACS))

Abstract

We now revisit some design decision issues raised through our analysis and discuss related prospects.

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Authors and Affiliations

  1. LIP6, Sorbonne Université, CNRS, Paris, France

    Jean-Pierre Briot

  2. Sony Computer Science Laboratories, Paris, France

    Gaëtan Hadjeres

  3. Spotify Creator Technology Research Lab, Paris, France

    François-David Pachet

Authors
  1. Jean-Pierre Briot
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  2. Gaëtan Hadjeres
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  3. François-David Pachet
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Briot, JP., Hadjeres, G., Pachet, FD. (2020). Discussion and Conclusion. In: Deep Learning Techniques for Music Generation. Computational Synthesis and Creative Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-70163-9_8

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  • DOI: https://doi.org/10.1007/978-3-319-70163-9_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70162-2

  • Online ISBN: 978-3-319-70163-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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