1. Some activities on Biometrics at ENST/CNRS-LTCI
G. CHOLLET, R. CROCE, G. GRAVIER,
J. KHARROUBI, D. PETROVSKA-DELACRETAZ,
M. SIGELLE
ENST/CNRS-LTCI 46 rue Barrault PARIS cedex 13

2. Outline What is ENST/CNRS-LTCI ?
Research and application topics related to COST-275:
Speaker verification:
The CAVE-PICASSO projects (text dependent)
The ELISA consortium, NIST evaluations (text independent)
The EUREKA !2340 MAJORDOME project
Multimodal Identity Verification:
The M2VTS and BIOMET projects
Perspectives

3. Our affiliations
ENST: Ecole Nationale Supérieure des Télécommunications
CNRS: Centre National de la Recherche Scientifique
LTCI: Laboratoire de Traitement et Communication de l’Information

4. What is ENST? Ecole Nationale de Télécommunications
classed among the
‘Grandes Ecoles d'Ingénieurs’.
250 state certified engineers
each year .
part of ‘Groupement des Ecoles
de Télécommunications’

5. Speaker Verification Typology of approaches (EAGLES Handbook)
Text dependent
Public password
Private password
Customized password
Text prompted
Text independent
Incremental enrolment
Evaluation

6. CAVE – PICASSO

7. Speaker Verification (text independent)
The ELISA consortium
ENST, LIA, IRISA, ...
NIST evaluations

8. Support Vector Machines and Speaker Verification
Hybrid GMM-SVM system is proposed
SVM scoring model trained on development data to classify true-target speakers access and impostors access, using new feature representation based on GMMs
Modeling
Scoring
GMM
SVM

9. SVM principles X y(X) Feature space Input space H Class(X) Ho
Separating hyperplans H , with the optimal hyperplan Ho Ho H
Class(X)

10. Results

11. Unified Messaging System
Holistique
EDF
Software602
KTH
Euroseek
UPC
Airtel
«MAJORDOME»
Unified Messaging System
Eureka Projet no 2340
D. Bahu-Leyser, G. Chollet, R. Croce, K. Hallouli , J. Kharroubi, D. Kofman,
L. Likforman, E. Matta-Sanchez, D. Petrovska, M. Sigelle, P. Vaillant, F. Yvon

12. Majordome’s Functionalities
Speaker verification
Dialogue
Routing
Updating the agenda
Automatic summary
Voice
Fax
MAJORDOME (

13. Voice technology in Majordome
Server side background tasks:
continuous speech recognition applied to voice messages upon reception
Detection of sender’s name and subject
User interaction:
Speaker identification and verification
Speech recognition (receiving user commands through voice interaction)
Text-to-speech synthesis (reading text summaries, s or faxes)

14. Multimodal Identity Verification
M2VTS (face and speech)
front view and profile
pseudo-3D with coherent light
BIOMET:
(face, speech, fingerprint, signature, hand shape)
data collection
reuse of the M2VTS and DAVID data bases
experiments on the fusion of modalities

15. BIOMET
Bla-bla
SECURED
SPACE
PIN

16. BIOMET
An extension of the M2VTS and DAVID projects to include such modalities as signature, finger print, hand shape.
Initial support (one year) is provided by GET (Groupement des Ecoles de Télécommunications)
Looking for partners to initiate a european project
(COST-275 could be a step in this direction)
Emphasis will be on fusion of scores obtained from two or more modalities.

17. Perspectives within COST-275
An extension of the BIOMET project.
Sampling and distribution of the DAVID database in digital form.
An opportunity for COST-275 partners to join the ELISA consortium.