My main academic contributions


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    EDMSound: Spectrogram Based Diffusion Models for Efficient and High-Quality Audio Synthesis
    Ge Zhu, Yutong Wen, Marc-André Carbonneau, and Zhiyao Duan
    In NeurIPS Workshop: Machine Learning for Audio, 2023
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    Rhythm Modeling for Voice Conversion
    Benjamin van NiekerkMarc-André Carbonneau, and Herman Kamper
    IEEE Signal Processing Letters, 2023
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    ZeroEGGS: Zero-shot Example-based Gesture Generation from Speech
    Saeed GhorbaniYlva FerstlDaniel Holden, Nikolaus F. Troje, and Marc-André Carbonneau
    Computer Graphics Forum, 2023


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    Measuring Disentanglement: A Review of Metrics
    Marc-André Carbonneau, Julian Zaïdi, Jonathan Boilard, and Ghyslain Gagnon
    IEEE Transactions on Neural Networks and Learning Systems, 2022
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    A Comparaison of Discrete and Soft Speech Units for Improved Voice Conversion
    Benjamin van NiekerkMarc-André Carbonneau, Julian Zaidi, Matthew Baas, Hugo Seuté, and Herman Kamper
    In ICASSP, 2022
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    Daft-Exprt: Robust Prosody Transfer Across Speakers for Expressive Speech Synthesis
    Julian Zaïdi, Hugo Seuté, Benjamin van Niekerk, and Marc-André Carbonneau
    In INTERSPEECH, 2022
  4. Exemplar-based Stylized Gesture Generation from Speech: An Entry to the GENEA Challenge 2022
    Saeed GhorbaniYlva Ferstl, and Marc-André Carbonneau
    In International Conference on Multimodal Intreraction, 2022


  1. Energy Disaggregation using Variational Autoencoders
    Antoine Langevin, Marc-André Carbonneau, Mohamed Cheriet, and Ghyslain Gagnon
    Energy & Buildings, 2021
  2. Artist guided generation of video game production quality face textures
    Christian Murphy, Sudhir Mudur, Daniel HoldenMarc-André Carbonneau, Donya Ghafourzadeh, and Andre Beauchamp
    Computers & Graphics, 2021


  1. Feature Learning from Spectrograms for Assessment of Personality Traits
    Marc-André CarbonneauEric Granger, Yazid Attabi, and Ghyslain Gagnon
    IEEE Transactions on Affective Computing, 2020
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    Appearance Controlled Face Texture Generation for Video Game Characters
    Christian Murphy, Sudhir Mudur, Daniel HoldenMarc-André Carbonneau, Donya Ghafourzadeh, and Andre Beauchamp
    In Proceedings of the 13th ACM SIGGRAPH Conference on Motion, Interaction and Games, 2020


  1. Bag-Level Aggregation for Multiple-Instance Active Learning in Instance Classification Problems
    Marc-André CarbonneauEric Granger, and Ghyslain Gagnon
    IEEE Transactions on Neural Networks and Learning Systems, 2019


  1. Multiple instance learning: A survey of problem characteristics and applications
    Marc-André CarbonneauVeronika CheplyginaEric Granger, and Ghyslain Gagnon
    Pattern Recognition, 2018


  1. Score thresholding for accurate instance classification in multiple instance learning
    Marc-André CarbonneauEric Granger, and Ghyslain Gagnon
    In 2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA), 2016
  2. Robust multiple-instance learning ensembles using random subspace instance selection
    Marc-André CarbonneauEric Granger, Alexandre J. Raymond, and Ghyslain Gagnon
    Pattern Recognition, 2016
  3. Witness identification in multiple instance learning using random subspaces
    Marc-André CarbonneauEric Granger, and Ghyslain Gagnon
    In 2016 23rd International Conference on Pattern Recognition (ICPR), 2016


  1. Real-time visual play-break detection in sport events using a context descriptor
    M.-A. Carbonneau, A J Raymond, E Granger, and G Gagnon
    In Circuits and Systems (ISCAS), 2015 IEEE International Symposium on, May 2015


  1. Detection of alarms and warning signals on an digital in-ear device
    Marc-André Carbonneau, Narimene Lezzoum, Jérémie Voix, and Ghyslain Gagnon
    International Journal of Industrial Ergonomics, May 2013
    Noise: Assessment & Control
  2. Recognition of blowing sound types for real-time implementation in mobile devices
    Marc-André CarbonneauGhyslain Gagnon, Robert Sabourin, and Jean Dubois
    In 2013 IEEE 11th International New Circuits and Systems Conference (NEWCAS), May 2013