Équipe de recherche :Research Team:
Signal, Statistique et Apprentissage (S2A)Signal, Statistics and Learning (S2A)
Laboratoire :Laboratory:
Laboratoire Traitement et Communication de l'Information (LTCI)Information Processing and Communication Laboratory (LTCI)
Département :Department:
Image, Données, Signal (IDS)Image, Data, Signal (IDS)
Roland Badeau is Full Professor in the Signal, Statistics and Machine learning (S2A) team of the Image, Data, Signal (IDS) Department at Télécom Paris. His research interests focus on statistical modeling of non-stationary signals (including adaptive high-resolution spectral analysis and Bayesian extensions to NMF), with applications to audio and music (source separation, denoising, dereverberation, multipitch estimation, automatic music transcription, audio coding, audio inpainting). He is a co-author of 30 journal papers, over 100 international conference papers, and 4 patents. He is also an Associate Editor of the IEEE/ACM Transactions on Audio, Speech, and Language Processing.
Prix de Thèse IP Paris : trois doctorants de Télécom Paris parmi les lauréats
PhD — 01/07/2022Le prix de thèse IP Paris a été décerné le 1er juillet 2022 à sept lauréats, parmi lesquels figurent [...]Kimia Nadjahi, prix du meilleur article étudiant à ICASSP 2020
PhD, Data Science & AI — 06/05/2020Kimia Nadjahi a reçu le prix du meilleur article étudiant pour "Méthode d'Approximate Bayesian [...]Best student paper award to Kimia Nadjahi at ICASSP 2020
PhD, Data Science & AI — 06/05/2020Kimia Nadjahi received the best student paper award for "Approximate Bayesian Computation with the [...]