activity
20172026
most citedThe Skipping Behavior of Users of Music Streaming Services and its Relation to Musical Structure

26 citations · 53 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2026

Hidden Biases in Conditioning Autoregressive Models

Francois Pachet, Pierre Roy

Large language and music models are increasingly used for constrained generation: rhyming lines, fixed meter, inpainting or infilling, positional endings, and other global form req…

cs.CY2022★ 20 cited

The Beyond the Fence Musical and Computer Says Show Documentary

Simon Colton, Maria Teresa Llano, Rose Hepworth +11

During 2015 and early 2016, the cultural application of Computational Creativity research and practice took a big leap forward, with a project where multiple computational systems…

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★ 26 cited

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.AI2017★ 7 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…