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Assisted music creation with Flow Machines: towards new categories of new

Jun 22, 2020
François Pachet, Pierre Roy, Benoit Carré

* This paper is a hyperlinked version of chapter 18 of the book "Handbook of Artificial Intelligence for Music", Eduardo Miranda ed., Springer, 2020. Accompanying website: https://www.francoispachet.fr/flow-machines-synthesis-paper/ This version corrects some typos and adds some links to music examples 

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Music Generation by Deep Learning - Challenges and Directions

Sep 30, 2018
Jean-Pierre Briot, François Pachet

* 17 pages. arXiv admin note: substantial text overlap with arXiv:1709.01620. Accepted for publication in Special Issue on Deep learning for music and audio, Neural Computing & Applications, Springer Nature, 2018 

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Deep Learning Techniques for Music Generation - A Survey

Sep 05, 2017
Jean-Pierre Briot, Gaëtan Hadjeres, François Pachet

* 108 pages 

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GLSR-VAE: Geodesic Latent Space Regularization for Variational AutoEncoder Architectures

Jul 14, 2017
Gaëtan Hadjeres, Frank Nielsen, François Pachet

* 11 pages 

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DeepBach: a Steerable Model for Bach Chorales Generation

Jun 17, 2017
Gaëtan Hadjeres, François Pachet, Frank Nielsen

* Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1362-1371, 2017 
* 10 pages, ICML2017 version 

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Sampling Variations of Lead Sheets

Mar 02, 2017
Pierre Roy, Alexandre Papadopoulos, François Pachet

* 16 pages, 11 figures 

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Maximum entropy models for generation of expressive music

Oct 12, 2016
Simon Moulieras, François Pachet


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Maximum entropy models capture melodic styles

Oct 11, 2016
Jason Sakellariou, Francesca Tria, Vittorio Loreto, François Pachet


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Style Imitation and Chord Invention in Polyphonic Music with Exponential Families

Sep 16, 2016
Gaëtan Hadjeres, Jason Sakellariou, François Pachet

* 18 pages, 11 figures 

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