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Emmanuel Deruty

Associate Researcher

music

Any music you can(not) imagine

Globalization has led popular music to become a part of a universal world culture. The conventions of music have departed from local preferences to a universally shared language.
Additionally, cheap personal computers have brought million-dollar studios to people’s homes. Everybody’s a music producer. A plethora of virtual instruments, audio processes, and sample libraries are readily available.
A universal language, loads of data: it’s time to look for an understanding of the universal principles of music. Can we define universal principles of well-formedness in music?
The path to such knowledge goes through the augmentation of human capacities of observation using cutting-edge machine learning algorithms.
When algorithms of automatic music generation grow to possess this knowledge, then we can generate music from any material, music from the strangest idea, any music you can(not) imagine.

2018

Auto-adaptive Resonance Equalization using Dilated Residual Networks

Topics:
music
Authors
Grachten Maarten, Emmanuel Deruty, Tanguy Alex, re,

2018.

2018

Machine Learning Research that Matters for Music Creation: A Case Study

Topics:
music
Authors
Sturm Bob, Ben-Tal Oded, Monaghan Una, Collins Nick, Herremans Dorien, Chew Elaine, Gaëtan Hadjeres, Emmanuel Deruty, François Pachet,

Journal of New Music Research, 2018.

2016

Goal-oriented mixing

Topics:
music
Authors
Emmanuel Deruty,

Proceedings of the 2nd AES Workshop on Intelligent Music Production (WIMP2016), London (UK), September, 2016.

2016

System & Contrast: A Polymorphous Model of the Inner Organization of Structural Segments within Music Pieces.

Topics:
music
Authors
Bimbot Fr{'e}d{'e}ric, Emmanuel Deruty, Sargent Gabriel, Vincent Emmanuel,

Music Perception, 33, 5, June, 2016.

2015

The MIR perspective on the evolution of dynamics in mainstream music

Topics:
music
Authors
Emmanuel Deruty, François Pachet,

Proceedings of the 16th ISMIR Conference, Malaga, Spain, 2015.

2014

Human-Made Rock Mixes Feature Tight Relations Between Spectrum And Loudness

Topics:
music
Authors
Emmanuel Deruty, Pierre Roy, François Pachet,

Journal of the Audio Engineering Society, 62, 10, October, 2014. pp.643--653.