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MESSAGE FOLLOWS:
Apologies, a couple of mistakes in the previous email. It is on
Tuesday and will be Laurent this time, not Guillaume. Take two:
Dear all,
Next Tuesday 2 June, at 3pm, Laurent Daudet will present the seminar
Less is more: sparse representations for audio.
The seminar will take place in room 105 in the Electronic Engineering
Department, Queen Mary University of London, Mile End Road, London E1
4NS. Directions of how to get to Queen Mary are available at http://www.elec.qmul.ac.uk/research/seminars/
as are details of future seminars. The room is under access control,
so people from outside QM will need to contact C4DM to get in - the
lab phone number is +44 (0)20 7882 5528 and if I'm not available,
anyone else in the lab should be able to help. If you are coming from
outside Queen Mary, please let me know, so I can make sure no-one's
stuck outside the doors.
All are welcome to attend. For those unable to attend a video
recording of the seminar should be available on the above website
after a few days.
If you wish to be added to / removed from our mailing list, please
send me an email and I'll be happy to do so.
Tuesday's seminar (2 June 3pm):
Title:
Less is more: sparse representations for audio
Speaker:
Laurent Daudet
Musical Acoustics Group, D'Alembert Institute for Mechanical
Engineering, University Pierre-and-Marie-Curie - Paris 6
Abstract:
This talk will be focused on signal modeling using sparse
decompositions in overcomplete dictionaries, with a strong focus on
audio signals. In such models, a signal is approximated by combining a
small number of elementary waveforms ("atoms"), taken from a very
large collection ("dictionary"). This provides extra flexibility (e.g.
apparently avoids time-frequency resolution constraints) but comes
with increased complexity over standard Fourier-based analysis. Greedy
techniques have however been developed that provide near-optimal
decompositions in reasonable computational cost, i.e. applicable on
large-scale multimedia databases. After a general overview, I will
discuss recent applications that takes advantage of sparsity,
combining scalable audio coding with Music Information Retrieval
applications.
Bio:
Laurent Daudet is Associate Professor at the Pierre-and-Marie-Curie
University (UPMC aka Paris 6), France. He's also Visiting Senior
Lecturer at Queen Mary University of London. After a physics education
at the Ecole Normale Superieure, Paris, France, he received a Ph.D.
degree in applied mathematics from the Universite de Provence,
Marseille, France, in 2000. In 2001 and 2002, he was an EU Marie Curie
Post-doctoral Fellow with Prof Mark Sandler at the Centre for Digital
Music at Queen Mary University of London. Since 2002, he has been
working at UPMC where he joined the Musical Acoustics Laboratory
(LAM), now part of the D'Alembert Institute for mechanical
engineering. He is author or coauthor of over 70 publications on
various aspects of digital audio signal processing. His research
focuses mainly on applications of sparse signal processing for the
analysis and synthesis of audio signals.
Tim Murray Browne
--
Centre for Digital Music (C4DM)
Electronic Engineering Department
Queen Mary, University of London
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Tel: +44 (0)20 7882 5528
Fax: +44 (0)20 7882 7997
C4DM Web-site : http://www.elec.qmul.ac.uk/digitalmusic/index.html
