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Section: Contracts and Grants with Industry

European projects

FP7 FET-Open program SMALL

Participants : Rémi Gribonval, Ngoc Duong, Valentin Emiya, Jules Espiau de Lamaestre, Emmanuel Vincent, Nancy Bertin.

Duration: 2010-2012

Partners: Univ. Edimburg, Queen Mary Univ., EPFL, Technion Univ.

A joint research project called SMALL (Sparse Models, Algorithms and Learning for Large-scale data) has been setup with the groups of Pr Mark Plumbley (Centre for Digital Music, Queen Mary University of London, UK), Pr Mike Davies University of Edinburgh, UK), Pr Pierre Vandergheynst (EPFL, Switzeland) and Miki Elad (The Technion, Israel) in the framework of the European FP7 FET-Open call. SMALL was one of the eight selected projects among more than 111 submissions and began in February 2009.

The main objective of the project is to explore new generations of provably good methods to obtain inherently data-driven sparse models, able to cope with large-scale and complicated data much beyond state-of-the-art sparse signal modeling. The project will develop a radically new foundational theoretical framework for dictionary learning, and scalable algorithms for the training of structured dictionaries.

EUREKA Eurostars program i3DMusic

Participants : Emmanuel Vincent, Ngoc Duong, Rémi Gribonval, Laurent Simon.

Duration: 3 years, starting in October 2010.

Partners: Audionamix (FR), Sonic Emotion (CH), École Polytechnique Fédérale de Lausanne (CH)

A joint research project called i3DMusic (Real-time Interative 3D Rendering of Musical Recordings) has been setup with the SMEs Audionamix and Sonic Emotion and the academic partner EPFL. This project aims to provide a system enabling real-time interactive respatialization of mono or stereo music content. This will be achieved through the combination of source separation and 3D audio rendering techniques. Metiss is responsible for the source separation work package, more precisely for designing scalable online source separation algorithms and estimating advanced spatial parameters from the available mixture.