Dijana Petrovska-Delacrétaz

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This paper presents an overview of a state-of-the-art text-independent speaker verification system. First, an introduction proposes a modular scheme of the training and test phases of a speaker verification system. Then, the most commonly speech parameteriza-tion used in speaker verification, namely, cepstral analysis, is detailed. Gaussian mixture(More)
With the increasing use of biometrics, more and more concerns are being raised about the privacy of the personal biometric data. Conventional biometric systems store biometric templates in a database. This may lead to the possibility of tracking personal information stored in one database by getting access to another database through cross-database(More)
In this paper, a 3D Active Shape Model (3DASM) algorithm is presented to automatically locate facial landmarks from different views. The 3DASM is trained by setting different shape and texture parameters of 3D Morphable Model (3DMM). Using 3DMM to synthesize training data offers us two advantages: first, few manual operations are need, except labeling(More)
R ´ ESUMÉ Cet article présente une description de la base de données POLYCOST qui est dédiée aux applications de reconnaissance du locuteurà travers les lignes téléphoniques. Les car-actéristiques de la base de données sont : large corpusà con-tenu varié (> 100 locuteurs), anglais parlé par desétrangers, chiffres lus et parole libre, enregistrementà travers(More)
The BioSecure Network of Excellence 1 has collected a large multi-biometric publicly available database and organized the BioSecure Multimodal Evaluation Campaigns (BMEC) in 2007 2. This paper reports on the Talking Faces campaign. Open source reference systems were made available to participants and four laboratories submitted executable code to the(More)
This paper evaluates the performance of the twelve primary systems submitted to the evaluation on speaker verification in the context of a mobile environment using the MOBIO database. The mobile environment provides a challenging and realistic test-bed for current state-of-the-art speaker verification techniques. Results in terms of equal error rate (EER),(More)
ALISP (Automatic Language Independent Speech Processing) units are an alternative concept to using phoneme-derived units in speech processing. This article describes advances in very low bit rate coding using ALISP units. Results of speaker-independent experiments are reported and speaker clustering using vector quantization is proposed. The improvements of(More)