Gaussian Mixture Models (GMMs) and Radial Basis Function (RBF) networks are two of the
promising neural models for pattern classification. In this laboratory exercise, your task is to …

Much of the existing face recognition systems operate in 2D. As the search for improved
recognition performance intensifies, alternative methods, eg, 3D, are under consideration …

Multimodal fusion for identity verification has already shown great improvement compared to
unimodal algorithms. In this paper, we propose to integrate confidence measures during the …

Speaker verification is a process that accepts or rejects the identity claim of a speaker. How
to make a decision is a critical problem; a threshold for decision-making critically determines …

Explores the possibility of replacing the usual thresholding decision rule of log likelihood
ratios used in speaker verification systems by more complex and discriminant decision …

GOL 5/00(2006.01)(57) ABSTRACT GOL 7/00(2006.01) GIOL 9/14(2006.01) During a
learning phase, a speech recognition device gener (52) US Cl........................ 704/246; …

ABSTRACT A key problem for field applications in speaker verification is the issue of a priori
threshold setting. In the context of the CAVE project several methods for estimating …

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Institute for Perceptual Artificial Intelligence • POBox 592 • Martigny •Valais•Switzerland phone …

The use of a priori speaker-dependent thresholds has been shown convenient for speaker
verification. However, their estimation is highly affected by the difficulty of obtaining data …

Verifying a person's identity claim by combining multiple biometric systems (fusion) is a
promising solution to identity theft and automatic access control. This thesis contributes to …