activity
20172020
most citedSampling Variations of Lead Sheets

7 citations · 11 across the 4 of their papers we have counts for

collaborators

6 papers

cs.SD2020

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

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. We reflect on the motivations for such a proj…

cs.SD2019

Smart Edition of MIDI Files

Pierre Roy, Francois Pachet

We address the issue of editing musical performance data, in particular MIDI files representing human musical performances. Editing such sequences raises specific issues due to the…

cs.IR2019

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

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 analysi…

cs.CC20172 cited

Sampling Markov Models under Constraints: Complexity Results for Binary Equalities and Grammar Membership

Stephane Rivaud, François Pachet

We aim at enforcing hard constraints to impose a global structure on sequences generated from Markov models. In this report, we study the complexity of sampling Markov sequences un…

cs.LG20172 cited

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

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. In many settings, t…

cs.AI20177 cited

Sampling Variations of Lead Sheets

Pierre Roy, Alexandre Papadopoulos, François Pachet

Machine-learning techniques have been recently used with spectacular results to generate artefacts such as music or text. However, these techniques are still unable to capture and…