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—The paper introduces a feature extraction technique for face recognition called the Phase-based Gabor Fisher Classi-fier (PBGFC). The PBGFC method constructs an augmented feature vector which encompasses Gabor-phase information derived from a novel representation of face images-the oriented Gabor phase congruency image (OGPCI)-and then applies linear(More)
Recommended by Søren Jensen We propose a way of integrating likelihood ratio (LR) decision criterion with nuisance attribute projection (NAP) for Gaussian mixture model-(GMM-) based speaker verification. The experiments on the core test of the NIST speaker recognition evaluation (SRE) 2005 data show that the performance of the proposed approach is(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)
Illumination induced appearance changes represent one of the open challenges in automated face recognition systems still significantly influencing their performance. Several techniques have been presented in the literature to cope with this problem; however, a universal solution remains to be found. In this paper we present a novel normalization scheme(More)
A system for speaker-based audio-indexing and an application for speaker-tracking in broadcast news audio are presented. The process of producing an indexing information in continuous audio streams based on detected speakers is composed of several tasks and is therefore treated as a multistage process. The main building blocks of such an indexing system(More)
A small self-voicing Web browser designed for blind users is presented. The Web browser was built from the GTK Web browser Dillo, which is a free software project in terms of the GNU general public license. Additional functionality has been introduced to this original browser in form of different modules. The browser operates in two different modes,(More)
Most of the existing literature on i-vector-based speaker recognition focuses on recognition problems, where i-vectors are extracted from speech recordings of sufficient length. The majority of modeling/recognition techniques therefore simply ignores the fact that the i-vectors are most likely estimated unreliably when short recordings are used for their(More)