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This paper introduces and motivates the use of Gaussian Mixture Models (GMMs) for on-line signature verification. The individual Gaussian components are shown to represent some local, signer-dependent features that characterise spatial and temporal aspects ...
In this paper, we introduce probabilistic model based architecture for error handling in human–robot spoken dialogue systems under adverse audio conditions. In this architecture, a Bayesian network framework is used for interpretation of multi-modal signal ...
In this paper, a probabilistic measure for reliability of speaker verification under noisy acoustic conditions is proposed. A Bayesian network is used to estimate a probability for verification errors, given the GMM-based speaker verification system output ...
In this article, we compare aural and automatic speaker recognition in the context of forensic analyses, using a Bayesian framework for the interpretation of evidence. We use perceptual tests performed by non-experts and compare their performance with that ...
This paper considers design methodologies in order to develop voice-enabled interfaces for tour-guide robots deployed at the Robotics Exposition of the Swiss National Exhibition (Expo.02). Human–robot voice communication presents new challenges for design ...