Research interests
- Machine learning for signal processing, especially:
- - Feature extraction and selection
- - Kernel methods
- - Probabilistic graphical models
- With applications to:
- - Multimedia content analysis
- - Change point detection and temporal segmentation
- - Joint audiovisual processing
- - Music Information Retrieval (MIR)
- - General audio classification
For more information about my research activities check my publications page and read about the research projects I have been involved in.
Short bio
Slim Essid is faculty in the Department of Image and Signal Processing-TSI of TELECOM ParisTech (which was also known as ENST, Télécom Paris, etc.) , one of the schools of the Institut TELECOM and ParisTech, and a member of the CNRS LTCI lab.
He received the state engineering degree
from the École Nationale d’Ingénieurs de Tunis,
Tunisia, in 2001, the M.Sc. (D.E.A.) degree in digital
communication systems from the École Nationale
Supérieure des Télécommunications, Paris,
France, in 2002, and the Ph.D. degree from the
Université Pierre et Marie Curie, Paris, France, in
2005, after completing a thesis on automatic audio
classification under the supervision of Gaël Richard & Bertrand David.
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Contact information
e-mail : myfirstname.mylastname _at_ enst _dot_ fr
Address : 37, rue Dareau, 75014 - Paris - FRANCE
Phone : +33-1 45 81 71 71
Fax : +33-1 45 81 71 44
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