Search Results - "Pachet, François"

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  1. 1

    Markov constraints: steerable generation of Markov sequences by Pachet, François, Roy, Pierre

    Published in Constraints : an international journal (01-04-2011)
    “…Markov chains are a well known tool to model temporal properties of many phenomena, from text structure to fluctuations in economics. Because they are easy to…”
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    Journal Article
  2. 2

    Machine learning research that matters for music creation: A case study by Sturm, Bob L., Ben-Tal, Oded, Monaghan, Úna, Collins, Nick, Herremans, Dorien, Chew, Elaine, Hadjeres, Gaëtan, Deruty, Emmanuel, Pachet, François

    Published in Journal of new music research (01-01-2019)
    “…Research applying machine learning to music modelling and generation typically proposes model architectures, training methods and datasets, and gauges system…”
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    Journal Article
  3. 3

    Predicting the Composer and Style of Jazz Chord Progressions by Hedges, Thomas, Roy, Pierre, Pachet, François

    Published in Journal of new music research (03-07-2014)
    “…Jazz music is a genre that consists mainly of improvising over known tunes, represented as a lead sheet. This study addresses the question 'to what extent does…”
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    Journal Article
  4. 4

    Deep learning for music generation: challenges and directions by Briot, Jean-Pierre, Pachet, François

    Published in Neural computing & applications (01-02-2020)
    “…In addition to traditional tasks such as prediction, classification and translation, deep learning is receiving growing attention as an approach for music…”
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    Journal Article
  5. 5

    Human-Made Rock Mixes Feature Tight Relations Between Spectrum and Loudness by Deruty, Emmanuel, Pachet, François, Roy, Pierre

    Published in Journal of the Audio Engineering Society (04-11-2014)
    “…Sophisticated production and mixing techniques in the rock music genre were developed in the second half of the 20th century, but there is no unified theory of…”
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    Journal Article
  6. 6

    Classification of dog barks: a machine learning approach by Molnár, Csaba, Kaplan, Frédéric, Roy, Pierre, Pachet, François, Pongrácz, Péter, Dóka, Antal, Miklósi, Ádám

    Published in Animal cognition (01-07-2008)
    “…In this study we analyzed the possible context-specific and individual-specific features of dog barks using a new machine-learning algorithm. A pool containing…”
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    Journal Article
  7. 7

    Finding good acoustic features for parrot vocalizations: The feature generation approach by Giret, Nicolas, Roy, Pierre, Albert, Aurélie, Pachet, François, Kreutzer, Michel, Bovet, Dalila

    “…A crucial step in the understanding of vocal behavior of birds is to be able to classify calls in the repertoire into meaningful types. Methods developed to…”
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    Journal Article Web Resource
  8. 8

    The skipping behavior of users of music streaming services and its relation to musical structure by Montecchio, Nicola, Roy, Pierre, Pachet, François

    Published in PloS one (30-09-2020)
    “…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…”
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    Journal Article
  9. 9

    Closed-loop bird–computer interactions: a new method to study the role of bird calls by Lerch, Alexandre, Roy, Pierre, Pachet, François, Nagle, Laurent

    Published in Animal cognition (01-03-2011)
    “…In the field of songbird research, many studies have shown the role of male songs in territorial defense and courtship. Calling, another important acoustic…”
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    Journal Article
  10. 10

    Description-Based Design of Melodies by Pachet, François

    Published in Computer music journal (01-12-2009)
    “…Pacheta offers a novel approach to music composition called description-based design that attempts to remove the need for the user to understand anything…”
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    Journal Article
  11. 11

    Analytical Features: A Knowledge-Based Approach to Audio Feature Generation by Pachet, François, Roy, Pierre

    “…We present a feature generation system designed to create audio features for supervised classification tasks. The main contribution to feature generation…”
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    Journal Article
  12. 12

    The bag-of-frames approach to audio pattern recognition : A sufficient model for urban soundscapes but not for polyphonic music by AUCOUTURIER, Jean-Julien, DEFREVILLE, Boris, PACHET, Francois

    “…The "bag-of-frames" approach (BOF) to audio pattern recognition represents signals as the long-term statistical distribution of their local spectral features…”
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    Journal Article
  13. 13

    Maximum entropy models capture melodic styles by Sakellariou, Jason, Tria, Francesca, Loreto, Vittorio, Pachet, Francois

    Published in Scientific reports (23-08-2017)
    “…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…”
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    Journal Article
  14. 14

    Jamming with Plunderphonics: Interactive concatenative synthesis of music by Aucouturier, Jean-Julien, Pachet, François

    Published in Journal of new music research (01-03-2006)
    “…This paper proposes to use the techniques of Concatenative Sound Synthesis in the context of real-time Music Interaction. We describe a system that generates…”
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    Journal Article
  15. 15

    Analytical Features: A Knowledge-Based Approach to Audio Feature Generation by Pachet, François, Roy, Pierre

    “…We present a feature generation system designed to create audio features for supervised classification tasks. The main contribution to feature generation…”
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    Journal Article
  16. 16

    The Cuidado music browser: an end-to-end electronic music distribution system by Pachet, François, Aucouturier, Jean-Julien, La Burthe, Amaury, Zils, Aymeric, Beurive, Anthony

    Published in Multimedia tools and applications (01-09-2006)
    “…Issue Title: Part I Video and Audio; Papers from the third International Workshop on Content-Based Multimedia Indexing (CBMI'2003, Rennes, France, September…”
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    Journal Article
  17. 17

    Action Identity in Style Simulation Systems: Do Players Consider Machine-Generated Music As of Their Own Style? by Khatchatourov, Armen, Pachet, François, Rowe, Victoria

    Published in Frontiers in psychology (06-05-2016)
    “…The generation of musical material in a given style has been the subject of many studies with the increased sophistication of artificial intelligence models of…”
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    Journal Article
  18. 18

    "The way it Sounds": timbre models for analysis and retrieval of music signals by Aucouturier, J.-J., Pachet, F., Sandler, M.

    Published in IEEE transactions on multimedia (01-12-2005)
    “…Electronic Music Distribution is in need of robust and automatically extracted music descriptors. An important attribute of a piece of polyphonic music is what…”
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    Journal Article
  19. 19

    Improving Multilabel Analysis of Music Titles: A Large-Scale Validation of the Correction Approach by Pachet, F., Roy, P.

    “…This paper addresses the problem of automatically extracting perceptive information from acoustic signals, in a supervised classification context. Global…”
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    Journal Article
  20. 20

    GLSR-VAE: Geodesic latent space regularization for variational autoencoder architectures by Hadjeres, Gaetan, Nielsen, Frank, Pachet, Francois

    “…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…”
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    Conference Proceeding