Courses

EDEE – Electrical Engineering

  • Automatic speech processing

    Teachers : Bourlard Hervé.
    Language : english


  • Computational perception using multimodal sensors

    The course will cover perceptual modalities in computers, models for analyzing people (representation, detection an localization, segmentation, tracking, recognition).

    Teachers : Odobez Jean-Marc.
    Language : english


  • Computational Social Media

    Teachers : Gatica-Perez Daniel.
    Language : english


  • Deep learning

    Teachers : Fleuret François.
    Language : english


  • Digital Speech and Audio Coding

    The goal of this course is to introduce the engineering students state-of-the-art speech and audio coding techniques with an emphasis on the integration of knowledge about sound production and auditory perception through signal processing techniques.

    Teachers : Magimai Doss Mathew. Motlicek Petr.
    Language : english


  • Fundamentals in statistical pattern recognition

    This course provides in-depth understanding of the most fundamental algorithms in statistical pattern recognition as well as concrete tools (as source code) to PhD students for their work. It will cover regression, classification (MLP, SVM) and probability distribution modeling (k-Means, GMM, HMM).

    Teachers : Anjos André. Marcel Sébastien.
    Language : english


  • Machine Learning for Engineers

    The objective of this course is to give an overview of machine learning techniques used for real-world applications, and to teach how to implement and use them in practice.

    Teachers : Calinon Sylvain. Fleuret François. Odobez Jean-Marc.
    Language : english


  • Statistical Sequence Processing

    This course discusses advanced methods extensively used for the processing, prediction, and classification of temporal (multi-dimensional and multi-channel) sequences. In this context, it also describes key links between signal processing, linear algebra, statistics and artificial neural networks.

    Teachers : Bourlard Hervé.
    Language : english


  • Archives

    Previous courses:

    Fall semester 2014
    Automatic Speech Processing  (Master Level) Lecturers:  Bourlard Hervé
    Digital Speech and Audio Coding  Lecturers: Magimai Doss, Petr Motlicek

    Spring 2013
    Doctoral program courses
    Spring semester 2012-2013 – Feb 18 –  May 31,  2013
    Fundamentals in Statistical Pattern Recognition Lecturer: Bourlard Hervé, Marcel Sébastien
    Statistical Sequence Recognition Lecturer: Bourlard Hervé

    Bachelor / Master Informatique 2012-2013
    Automatic speech processing. Lecturers: Bourlard Hervé

    Fall semester 2012
    Cognitive Vision for Cognitive Systems Lecturer: Caputo Barbara
    Digital Speech and Audio Coding Lecturers: Magimai Doss Mathew, Motlicek Petr
    Human Language Technology: applications to information access Lecturer: Popescu-Belis Andrei

    Spring semester 2012
    Cognitive Vision for Cognitive Systems. Lecturer: Caputo Barbara.
    Computational perception using multimodal sensors. Lecturers: Emonet Rémi, Odobez Jean-Marc.
    Digital Speech and Audio Coding. Lecturers: Magimai Doss Mathew, Motlicek Petr.
    Speech Signal Processing. Lecturers: Bourlard Hervé, Garner Philip Neil, Valente Fabio.

    Fall semester 2011
    Bachelor / Master Informatique
    Automatic speech processing. Lecturers: Bourlard Hervé.

    Spring semester 2011  (Feb. 23 – June 1, 2011)
    Statistical Sequence Processing. Lecturer: H. Bourlard
    Machine Learning . Lecturer: A. Billard & F. Fleuret

    Fall semester 2010 – (Sep. 21 – December 24, 2010)
    Automatic Speech Processing . Lecturer: H. Bourlard
    Cognitive Vision for Cognitive System . Lecturer: B. Caputo
    Digital Speech and Audio Coding . Lecturers:  M. Magimai Doss & P. Motlicek
    Graphical Models . Lecturer: V. Cevher

    Spring semester 2010  (Feb. 22nd – June 4th, 2010)
    Computational Perception with Multimodal Sensors . Lecturers: D. Gatica-Perez & J.-M. Odobez
    Machine Learning . Lecturers: A. Billard & F. Fleuret
    Statistical Sequence Processing . Lecturer: H. Bourlard

    Winter 2009 – 2010 (Sep 15, 2009 – Dec 19, 2009)
    Speech Signal Processing . Lecturers: Philip Garner and Fabio Valente
    Traitement Automatique de la Parole . Lecturer: Hervé Bourlard

    Winter 2008 -2009 (Sep 15, 2008- Dec 19, 2008)
    Traitement Automatique de la Parole . Lecturer: Hervé Bourlard

    Winter 2007-2008 (Sept 18, 2007- Dec 21, 2007)
    Traitement Automatique de la Parole . Lecturer: Hervé Bourlard

    Winter 2006-2007 (Oct 23, 2006 – Feb 09, 2007)
    Machine Learning . Lecturers: Barber D. / Billard A.
    Traitement Automatique de la Parole . Lecturer: Hervé Bourlard
    Brain-Computer Interaction . Lecturer: José del R. Millán
    Biometrics . Lecturer: Andrzej Drygajlo

    Summer 2006 (Mar 13, 2006 – June 23, 2006)
    Brain-Computer Interaction . Lecturer: José del R. Millán
    Probabilistic Models: Learning and Computing with Uncertainty . Lecturer: David Barber
    Statistical Sequence Processing, with Applications in Speech, and Handwriting Recognition . Lecturer: Hervé Bourlard
    Traitement de la parole . Lecturer: Andrzej Drygajlo

    Winter 2005-2006 (Oct 24, 2005 – Feb 10, 2006)
    Statistical Machine Learning from Data . Lecturer: Samy Bengio
    Speech and Audio Processing: Humans and Machine . Lecturer: Hynek Hermansky
    Traitement Automatique de la Parole . Lecturer: Hervé Bourlard
    Biometrics . Lecturer: Andrzej Drygajlo