Date	Type	Author	Title	Role	University	Jury
2022/06	HDR	Farrugia, Nicolas	Interdisciplinary approaches for Neurosciences, Artificial Intelligence and Sound	*Reviewer	Université de Bretagne Occidentale	-
2021/11	HDR	Serizel, Romain	Traitement de la parole et des signaux audios	*Reviewer	Université de Lorraine, France	-
2020/12	HDR	Knees, Peter	Information Retrieval and Recommender Systems for Music Listening and Creation	*Reviewer	TU Wien, Austria	-
2015/11	HDR	Couprie, Pierre	L'analyse musicale et la représentation analytique de la musique acousmatique	Examiner	Universite Paris-Sorbonne, France	-
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2023/05	PHD	Bazin, Théis	Designing Novel Time- Frequency Scales for Interactive Music Creation with Hierarchical Statistical modelling	*Reviewer	Sorbonne Université, France	-
2023/03	PHD	Douwes, Constance	On The Environmental Impact of Deep Generative Models for Audio	President of the jury	Sorbonne Université, France	-
2021/12	PHD	Cances, Léo	Apprentissage profond faiblement supervisé et semi-supervisé pour la détection d’évènements sonores	*Reviewer	Université de Toulouse 3, Paul Sabatier, France	-
2021/11	PHD	Cifka, Ondrej	Deep learning methods for music style transfer	President of the jury	IP-Paris, France	-
2021/06	PHD	Prang, Mathieu	Representation Learning for Symbolic Music	President of the jury	Sorbonne Université, France	-
2021/05	PHD	Turpault, Nicolas	Analyse des problématiques liées à la reconnaissance des sons ambiants en environnement réel	*Reviewer	Université de Lorraine, France	-
2021/03	PHD	Dauban, Nicolas	Jusqu’où les goûts musicaux sont-ils prédictibles par l’IA ?	*Reviewer	Université de Toulouse 3, Paul Sabatier, France	-
2020/09	PHD	Roche, Fanny	Music sound synthesis using machine learning: Towards a perceptually relevant control space	*Reviewer	Université Grenoble Alpes, France	-
2020/01	PHD	Chemla-Romeu-Santos, Alex	Manifold representations of musical signals and generative spaces	Examiner	Université Degli Studi di Milano, Italy	-
2019/12	PHD	Janson, Andreas	Musical Source Separation with Deep Learning and Large-Scale Datasets	*Reviewer	City, University of London, UK	-
2019/11	PHD	Pons, Jordi	Deep neural networks for music and audio tagging	*Reviewer	Universitat Pompeu Fabra, Spain	-
2018/12	PHD	Herrera, Perfecto	MIRages: an account of music audio extractors, semantic description and context-awareness, in the three ages of MIR	*Reviewer	Universitat Pompeu Fabra, Spain	-
2018/12	PHD	Crestel, Léopold	Neural Networks for automatic musical projective orchestration	Examiner	Sorbonne Université, France	-
2017/12	PHD	Laffitte, Pierre	Automatic Detection of Screams and Shouts in the Metro	*Reviewer	Lille University of Science and Technology, France	-
2017/10	PHD	Julien Osmalskyj	A Combining Approach to Cover Song Identification	*Reviewer	University of Liege, Belgium	-
2017/05	PHD	Durand, Simon	Estimation automatique des premiers temps dans un signal audio musical	Examiner	Télécom-ParisTech, Paris, France	-
2017/02	PHD	Lostanlen, Vincent	Convolutional Operators in the Time-Frequency Domain	*Reviewer	Ecole Normale Supérieure, Paris, France	-
2016/12	PHD	Krebs, Florian	Inference of Metrical Structure From Musical Audio Signals	*Reviewer	Johannes Kepler University, Linz, Austria	-
2016/12	PHD	Bock, Sebastian	Event Detection in Musical Audio: Beyond simple feature design	*Reviewer	Johannes Kepler University, Linz, Austria	-
2016/11	PHD	Srinivasamurth, Ajay	A data-driven Bayesian Approach to Automatic Rhythm Analysis of Indian Art Music	*Reviewer	UPF, Barcelona, Spain	-
2016/06	PHD	Flocon-Cholet, Joachim	Classification audio sous contrainte de faible latence	*Reviewer	Universite Rennes 1	-
2016/02	PHD	Pauwels, Johan	Exploiting prior knowledge during automatic key and chord estimation from musical audio	Examiner	Ghent University, Belgium	-
2014/07	PHD	LeCoz, Maxime	Spectre de rythme et sources multiples	*Reviewer	Universite Toulouse 1 Capitole, France	-
2013/02	PHD	Fourer, Dominique	Approche Informee pour l'analyse du son et de la musique	*Reviewer	Universite Bordeaux 1, France	-
2013/09	PHD	Khemiri, Houssemeddine	Unified Data-Driven Approach for Audio Indexing Retrieval and Recognition	Examiner	Télécom-ParisTech, Paris, France	-
2013/09	PHD	Fenet, Sebastien	Audio-Fingerprints and Associated Indexing Strategies for the Purpose of Large-Scale Audio-Identification	Examiner	Télécom-ParisTech, Paris, France	-
2013/09	PHD	Salamon, Justin	Melody Extraction from Polyphonic Music Signals	*Reviewer	UPF, Barcelona, Spain	-
2013/09	PHD	Matorell, Agustin	Modelling tonal context dynamics by temporal multi-scale analysis	*Reviewer	UPF, Barcelona, Spain	-
2012/08	PHD	Mesaros, Annamaria	Singing Voice Recognition for Music Information Retrieval	*Reviewer	TUT, Tampere, Finlande	-
2011/10	PHD	Laurier, Cyril	Automatic Classification of Musical Mood by Content-Based Analysis	*Reviewer	UPF, Barcelona, Spain	-
2011/01	PHD	Seyerlehner, Klaus	Content-Based Music Recommender Systems : Beyond simple Frame-Level Audio Similarity	*Reviewer	Johannes Kepler University, Linz, Austria	-
2010/11	PHD	Oudre, Laurent	Reconnaissance d'accords a partir de signaux audio par l'utilisation de gabarits theoriques	Examiner	Télécom-ParisTech, Paris, France	-
2010/06	PHD	Ramona, Mathieu	Classification automatique de flux radiophoniques par Machines a Vecteurs de Support	Examiner	Télécom-ParisTech, Paris, France	-
2009/12	PHD	Lachambre, Hélène	Caracterisation de l'environnement musical dans les documents audiovisuels	Examiner	IRIT, Toulouse, France	-
2009/09	PHD	Guauss, Enric	Audio content processing for automatic music genre classification : descriptors, databases, and classifiers	*Reviewer	UPF, Barcelona, Spain	-
2009/06	PHD	Eronen, Antti	Signal Processing Methods for Audio Classiication and Music Content Analysis	Opponent	TUT, Tampere, Finlande	-
2009/04	PHD	Scaringella, Nicolas	On the Design of Audio Features Robust to the Album-Effect for Music Information Retrieval	*Reviewer	EPFL, Lausanne, Suisse	-
2005/12	PHD	Essid, Slim	Classification automatique des signaux audio-frequences : reconnaissance des instruments de musique	Examiner	Télécom-ParisTech, Paris, France	-
2005/12	PHD	McDonagh, Lorcan	Modeles granulaires pour les signaux sonores contributions theoriques et experimentales	Examiner	INRIA/Metiss, Rennes, France	-