Presentation on theme: "Some activities on Biometrics at ENST/CNRS-LTCI"— Presentation transcript:
1 Some activities on Biometrics at ENST/CNRS-LTCI G. CHOLLET, R. CROCE, G. GRAVIER,J. KHARROUBI, D. PETROVSKA-DELACRETAZ,M. SIGELLEENST/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 projectMultimodal Identity Verification:The M2VTS and BIOMET projectsPerspectives
3 Our affiliationsENST: Ecole Nationale Supérieure des TélécommunicationsCNRS: Centre National de la Recherche ScientifiqueLTCI: 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 engineerseach year .part of ‘Groupement des Ecolesde Télécommunications’
5 Speaker Verification Typology of approaches (EAGLES Handbook) Text dependentPublic passwordPrivate passwordCustomized passwordText promptedText independentIncremental enrolmentEvaluation
8 Support Vector Machines and Speaker Verification Hybrid GMM-SVM system is proposedSVM scoring model trained on development data to classify true-target speakers access and impostors access, using new feature representation based on GMMsModelingScoringGMMSVM
9 SVM principles X y(X) Feature space Input space H Class(X) Ho Separating hyperplans H , with the optimal hyperplan HoHoHClass(X)
11 Unified Messaging System HolistiqueEDFSoftware602KTHEuroseekUPCAirtel«MAJORDOME»Unified Messaging SystemEureka Projet no 2340D. 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 verificationDialogueRoutingUpdating the agendaAutomatic summaryVoiceFaxMAJORDOME(
13 Voice technology in Majordome Server side background tasks:continuous speech recognition applied to voice messages upon receptionDetection of sender’s name and subjectUser interaction:Speaker identification and verificationSpeech 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 profilepseudo-3D with coherent lightBIOMET:(face, speech, fingerprint, signature, hand shape)data collectionreuse of the M2VTS and DAVID data basesexperiments on the fusion of modalities
16 BIOMETAn 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.
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