Search Results for author: François Pachet

Found 9 papers, 2 papers with code

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

no code implementations16 Jun 2020 François Pachet, Pierre Roy, Benoit Carré

This chapter reflects on about 10 years of research in AI- assisted music composition, in particular during the Flow Machines project.

The Skipping Behavior of Users of Music Streaming Services and its Relation to Musical Structure

no code implementations12 Mar 2019 Nicola Montecchio, Pierre Roy, François Pachet

The behavior of users of music streaming services is investigated from the point of view of the temporal dimension of individual songs; specifically, the main object of the analysis is the point in time within a song at which users stop listening and start streaming another song ("skip").

Relation

Music Generation by Deep Learning - Challenges and Directions

no code implementations9 Dec 2017 Jean-Pierre Briot, François Pachet

In addition to traditional tasks such as prediction, classification and translation, deep learning is receiving growing attention as an approach for music generation, as witnessed by recent research groups such as Magenta at Google and CTRL (Creator Technology Research Lab) at Spotify.

Music Generation Translation

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

no code implementations14 Jul 2017 Gaëtan Hadjeres, Frank Nielsen, François Pachet

VAEs (Variational AutoEncoders) have proved to be powerful in the context of density modeling and have been used in a variety of contexts for creative purposes.

Music Generation

Sampling Variations of Lead Sheets

no code implementations2 Mar 2017 Pierre Roy, Alexandre Papadopoulos, François Pachet

However, these techniques are still unable to capture and generate artefacts that are convincingly structured.

DeepBach: a Steerable Model for Bach Chorales Generation

5 code implementations ICML 2017 Gaëtan Hadjeres, François Pachet, Frank Nielsen

This paper introduces DeepBach, a graphical model aimed at modeling polyphonic music and specifically hymn-like pieces.

Maximum entropy models for generation of expressive music

no code implementations12 Oct 2016 Simon Moulieras, François Pachet

In the context of contemporary monophonic music, expression can be seen as the difference between a musical performance and its symbolic representation, i. e. a musical score.

Style Imitation and Chord Invention in Polyphonic Music with Exponential Families

1 code implementation16 Sep 2016 Gaëtan Hadjeres, Jason Sakellariou, François Pachet

Modeling polyphonic music is a particularly challenging task because of the intricate interplay between melody and harmony.

Music Generation

Cannot find the paper you are looking for? You can Submit a new open access paper.