Jul 28

Prix Jeune Chercheur Science et Musique 2017 : ouverture des candidatures

Les candidatures au septième Prix Jeune Chercheur, qui sera remis lors de la Journée Science et Musique du 14 octobre 2017, sont ouvertes du 31 juillet au 15 septembre 2017. Retrouvez tous les détails dans l’appel ci-dessous !

Lien : JSM2017-PrixJeuneChercheur

May 24

Mention spéciale du Prix de thèse AFRIF 2017 pour Luc Le Magoarou, ancien doctorant de l’équipe PANAMA

L’AFRIF (Association Française pour la Reconnaissance et l’Interprétation des Formes)  décerne une mention spéciale à Luc Le Magoarou pour son travail intitulé « Matrices efficientes pour le traitement du signal et l’apprentissage automatique » réalisé à l’IRISA (équipe PANAMA) sous la direction de Rémi Gribonval. http://www.afrif.asso.fr/?page_id=54

Vidéo

Game of Drones: localisation de drone par le son (teaser video pédagogique)

Apr 28

World leading CEDAR Audio ships improved audio desaturation based on PANAMA’s Sparse Audio Declipper technology

The new audio desaturation module of CEDAR Audio, world-leader provider of professional audio restoration solutions,  is based on further developments of PANAMA’s Sparse Audio Declipper.

Click here to learn more on the Sparse Audio Declipper: read the papers where it is described and tested; download the corresponding Matlab code; listen to audio examples; test it on your own files from your browser.

 

Apr 27

Release: A-SPADE, the Sparse Audio Declipper

Ever faced saturated audio recordings ? Try A-SPADE, the Sparse Audio Declipper.

Clipping, also known as saturation, is a comon phenomenon leading to sometimes seriously distorted audio recordings. Declipping consists in performing the inverse process, to restore saturated audio recordings and improve their quality. A-SPADE is a declipping algorithm developed by PANAMA. It is based on on the expression of declipping as a linear inverse problem and the use of analysis sparse (aka cosparse) regularization in the time-frequency domain.

You can listen to sound examples or try it on your own files in your web browser using A-SPADE’s online implementation on A||GO, Inria’s web platform for technology demonstration.

Apr 27

Code release: Physics-Driven Cosparse Analysis and Convex Blind Calibration

The PHYSALIS Matlab code allows to reproduce the experiments from a series of papers from our group on cosparse (=analysis flavor of sparse) source localization, for both acoustic inverse problems and EEG inverse problems. It is available here

The CBC4CS code allows to reproduce convex blind calibration experiments in the context of compressive sensing. It is available here.

Sep 08

Ne manquez pas la prochaine Journée Science et Musique, le 1er octobre au Diapason à Rennes

Tous les détails sur le site de la Journée Sciences et Musiqe, jsm.irisa.fr

Jul 08

(closed) PhD offer – Interactive Navigation for a Video Audio True Experience @ PANAMA, Inria Rennes

Details and appliication here

Jun 16

Paper + code on random sampling of bandlimited signals on graphs

Our paper on Random Sampling of Bandlimited Signals on Graphs has been accepted for publication in Applied and Computational Harmonic Analysis .

Read it on arXiv:1511.05118 or hal:hal-01320214

Download the code at http://grsamplingbox.gforge.inria.fr/

May 25

2016 Award for Outstanding Contributions in Neural Systems

Congratulations to Antoine Deleforge (new PANAMA team member), Florence Forbes (MISTIS team) and Radu Horaud (PERCEPTION team) who received the 2016 Hojjat Adeli Award for Outstanding Contributions in Neural Systems for their paper:

  • A. Deleforge, F. Forbes, and R. Horaud (2015), “Acoustic Space Learning for Sound-source Separation and Localization on Binaural Manifolds,” International Journal of Neural Systems, 25:1, 1440003 (21 pages)

The Award for Outstanding Contributions in Neural Systems established by World Scientific Publishing Co. in 2010, is awarded annually to the most innovative paper published in the previous volume/year of the International Journal of Neural Systems.

For more information concerning this paper please visit the page of the PERCEPTION team on Acoustic Space Learning on Binaural Manifolds (article download, Matlab code, datasets, etc.)

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