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François Pachet

François Pachet

D-Index & Metrics

Computer Science

D-Index
49
Citations
8729
World Ranking
5935
National Ranking
123

Overview

François Pachet is a researcher affiliated with Spotify in Sweden. Their work spans multiple disciplines, primarily focusing on computer science and neuroscience, with specific contributions to computer vision and pattern recognition, cognitive neuroscience, and signal processing.

Their research centers on topics related to music technology and sound studies, music and audio processing, neuroscience and music perception, data visualization and analytics, as well as aesthetic perception and analysis.

Frequent co-authors collaborating with François Pachet include Pierre Roy, Nicola Montecchio, Simon Colton, Teresa Llano, and Rose Hepworth.

Their publication record includes papers presented in venues such as PLoS ONE and the Falmouth University Research Repository (FURR) at Falmouth University.

  • The skipping behavior of users of music streaming services and its relation to musical structure (2020, PLoS ONE)
  • The Beyond the Fence Musical and Computer Says Show Documentary (2022, Falmouth University Research Repository (FURR) (Falmouth University))

Best Publications

  • The Continuator: Musical Interaction With Style

    François Pachet

  • Representing Musical Genre: A State of the Art

    Jean-Julien Aucouturier;François Pachet

  • DeepBach: a steerable model for bach chorales generation

    Gaëtan Hadjeres;François Pachet;Frank Nielsen

  • Music Similarity Measures: What's the use?

    Jean-Julien Aucouturier;François Pachet

  • A taxonomy of musical genres

    François Pachet;Daniel Cazaly

  • The bag-of-frames approach to audio pattern recognition: a sufficient model for urban soundscapes but not for polyphonic music.

    Jean-Julien Aucouturier;Boris Defreville;François Pachet

  • Improving Timbre Similarity : How high’s the sky ?

    Jean-Julien Aucouturier;Francois Pachet

  • Method and system for generating sequencing information representing a sequence of items selected in a database

    Francois Pachet;Daniel Cazaly;Pierre Roy

  • "The way it Sounds": timbre models for analysis and retrieval of music signals

    J.-J. Aucouturier;F. Pachet;M. Sandler

  • ON THE USE OF ZERO-CROSSING RATE FOR AN APPLICATION OF CLASSIFICATION OF PERCUSSIVE SOUNDS

    Fabien Gouyon;François Pachet;Olivier Delerue

  • Scaling up music playlist generation

    J.-J. Aucouturier;F. Pachet

  • Musical Harmonization with Constraints: A Survey

    Francois Pachet;Pierre Roy

  • NéoGanesh: a working system for the automated control of assisted ventilation in ICUs

    Michel Dojat;François Pachet;Zahia Guessoum;Dominique Touchard

  • A combinatorial approach to content-based music selection

    F. Pachet;P. Roy;D. Cazaly

  • Markov constraints: steerable generation of Markov sequences

    François Pachet;Pierre Roy

  • Music Generation by Deep Learning - Challenges and Directions

    Jean-Pierre Briot;Francois Pachet

  • Deep learning for music generation: challenges and directions

    Jean-Pierre Briot;François Pachet

  • A combinatorial approach to content-based music selection

    F. Pachet;P. Roy;D. Cazaly

  • Classification of dog barks: A machine learning approach

    Csaba Molnár;Frédéric Kaplan;Pierre Roy;François Pachet

  • Musical data mining for electronic music distribution

    F. Pachet;G. Westermann;D. Laigre

Frequent Co-Authors

Michel Dojat
Michel Dojat French Institute for Research in Computer Science and Automation - INRIA
Frank Nielsen
Frank Nielsen Sony Computer Science Laboratories
Luiz Velho
Luiz Velho Instituto Nacional de Matemática Pura e Aplicada
Jean-Charles Régin
Jean-Charles Régin Université Côte d'Azur
Perfecto Herrera
Perfecto Herrera Pompeu Fabra University
Vittorio Loreto
Vittorio Loreto Sapienza University of Rome
Mark Sandler
Mark Sandler Google (United States)
Mark d'Inverno
Mark d'Inverno Goldsmiths University of London
Frédéric Kaplan
Frédéric Kaplan École Polytechnique Fédérale de Lausanne
Ádám Miklósi
Ádám Miklósi Eötvös Loránd University

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