159 citations · 361 across the 15 of their papers we have counts for
16 papers
Tonal parsimony in chord-sequence analysis: combining modulation cost and tonal vocabulary
François Pachet
We study the assignment of local tonalities to chord sequences, a task useful for harmonic analysis, composition, and jazz-oriented improvisation. Standard dynamic-programming appr…
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…
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…
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…
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…
Music Generation by Deep Learning - Challenges and Directions
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…
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…
Deep Learning Techniques for Music Generation -- A Survey
Jean-Pierre Briot, Gaëtan Hadjeres, François-David Pachet
This paper is a survey and an analysis of different ways of using deep learning (deep artificial neural networks) to generate musical content. We propose a methodology based on fiv…
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…
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…
DeepBach: a Steerable Model for Bach Chorales Generation
Gaëtan Hadjeres, François Pachet, Frank Nielsen
This paper introduces DeepBach, a graphical model aimed at modeling polyphonic music and specifically hymn-like pieces. We claim that, after being trained on the chorale harmonizat…
SISO and SIMO Accompaniment Cancellation for Live Solo Recordings Based on Short-Time ERB-Band Wiener Filtering and Spectral Subtraction
Stanislaw Gorlow, Mathieu Ramona, François Pachet
Research in collaborative music learning is subject to unresolved problems demanding new technological solutions. One such problem poses the suppression of the accompaniment in a l…
Decision-Based Transcription of Jazz Guitar Solos Using a Harmonic Bident Analysis Filter Bank and Spectral Distribution Weighting
Stanislaw Gorlow, Mathieu Ramona, François Pachet
Jazz guitar solos are improvised melody lines played on one instrument on top of a chordal accompaniment (comping). As the improvisation happens spontaneously, a reference score is…
Maximum entropy models for generation of expressive music
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. In th…
Maximum entropy models capture melodic styles
Jason Sakellariou, Francesca Tria, Vittorio Loreto +1
We introduce a Maximum Entropy model able to capture the statistics of melodies in music. The model can be used to generate new melodies that emulate the style of the musical corpu…
Style Imitation and Chord Invention in Polyphonic Music with Exponential Families
Gaëtan Hadjeres, Jason Sakellariou, François Pachet
Modeling polyphonic music is a particularly challenging task because of the intricate interplay between melody and harmony. A good model should satisfy three requirements: statisti…