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Emmanuel DIDIOT
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Current Position
I'm now Research Engineer CNRS in ABC team at LORIA since september 2013. I work on M-SVMs applied to protein secondary structure prediction.
Old Positions
· Expert Engineer INRIA in SYNALP team at LORIA
· Research Engineer (Postdoc) in the Spoken Language Processing Group at LIMSI-CNRS
· Project Manager at Hewlett Packard (HP PSF Luxemburg)
· Research Engineer and Project leader at TNS Media Intelligence (now Kantar Media News Intelligence)
· ATER at Nancy2 University ,IUT Charlemagne Computer Science Dept. · ATER at UHP Nancy1 Computer Science Dept. · Member of Speech team at LORIA · Speech/music discrimination · Wavelets in signal processing · Pattern recognition (SVMs,
neural networks,...) · Kernel methods in genomics and
computational biology · Bioinformatics (computational
biology) · Model selection for multi-class
SVMs · And many other things... Nancy2 University ,IUT Charlemagne Nancy2 202 hours -- Lecturer at Computer
Science Dept. (2007--2008). Nancy1 University , Computer Science Dept. 90 hours -- Lecturer at Maths &
Computer science Dept. (2006--2007). Nancy2 University ,IUT Charlemagne Nancy2 167 hours -- Lecturer at Computer
Science Dept. (2004--2006). A
Wavelet-Based Parameterization for Speech/Music Segmentation A
Wavelet-Based Parameterization for Speech/Music Segmentation Speech/music
discrimination based on wavelets for broadcast programs Une nouvelle approche fondée sur les ondelettes pour la
discrimination parole/musique Conception et mise en oeuvre de M-SVM dédiées au traitement de
séquences biologiques Jean-Paul Haton (Professor) and Irina Illina (Associate Professor) Speech/music segmentation for automatic continuous speech transcription 13 Novembre 2007 ( LORIA.) In this thesis, we study the
segmentation of an audio stream in speech, music and speech on music (S/M).
This is a fundamental step for all application based on automatic transcription
of radiophonic stream and most commonly multimedia. The target application here
is a keyword detection system in broadcast programs. The application
performance depends on the quality of the signal segmentation given by the speech/music
discrimination system. Indeed, bad signal classification can give
miss-detections or false alarms. To improve the speech/music discrimination
task, we propose a new signal parameterization method. We use the wavelet
decomposition which allows an analysis of non-stationary signal like music for
instance. We compute different energies on wavelet coefficients to construct
our feature vectors. The signal is then segmented in four classes : speech (S),
non-speech (NS), music (M) and non-music (NM), thanks to two apart
class/non-class classification systems. These classification systems are based
on HMM. We chose a class/non-class architecture because it allows to find
independently the best parameters for each S/NS and P/NP tasks. A fusion of the
classifier ouputs is then performed to obtain the final decision : speech,
music or speech on music. The obtained results on a real broadcast program
corpus show that our wavelet-based parameterization gives a significant
improvement in performance in both M/NM and S/M discrimination tasks compared
to the baseline parameterization using cepstral coefficients.
Research interests
Teaching Experience
- Object-oriented programming using Java,
- Database administration,
- Computer architecture,
- Web programming : xHTML, PHP,
- Relational database management system (normalization, security, ...).
- Algorithms and programming for general students,
- Object-oriented programming using Java,
- C programming,
- Database concept,
- Artificial intelligence,
- Network concept and programming.
- Object-oriented programming using Java,
- Algorithmic,
- Computer architecture.
List of Publications
Didiot E., Illina I., Fohr D., Mella O.
Journal: Computer Speech and Language
(CSL)
Volume 24, Issue 2, April 2010, Pages 341-357.
Didiot E., Fohr D., Haton J.-P., Illina I., Mella O.
Proceedings of Ninth International Conference on Spoken Language Processing -
INTERSPEECH 2006
September 17-21 2006, Pittsburgh, Pennsylvania, USA. pp: 653-656.
Didiot E., Fohr D., Haton J.-P., Illina I., Mella O.
Proceedings of International Conference on Signal Processing and Multimedia
Applications - SIGMAP 2006
August 7-10 2006, Setubal, Portugal. pp: 151-...
Didiot E., Fohr D., Haton J.-P., Illina I., Mella O.
Proceedings of XXVIes Journées d'Etude sur la Parole - JEP 2006
June 12-16 2006, Dinard, France. pp. 209-212.
Didiot E.
Stage de DEA. Rapport de stage.
2003, Nancy, France. 32 pages.
Ph.D. Thesis
Host Laboratory
Supervisors
Thesis title
Date of defense
Abstract