Titlebook: Biometrics and ID Management; COST 2101 European W Claus Vielhauer,Jana Dittmann,Michael C. Fairhurst Conference proceedings 2011 Springer

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Lecture Notes in Computer Scienced), which classification methods are appropriate, user acceptability issues, and so on. Machine learning techniques need as much information as possible to maximise accuracy, but biometric samples are not necessarily straightforward to acquire and usability factors can be very influential. This pape

Thyroid-Gland

Dmitry Berdinsky,Prohrak Kruengthomyaolves first identifying the speaker model in the database that best matches the given test utterance, and then determining if the test utterance has actually been produced by the speaker associated with the best-matched model. Whilst, conventionally, the performance of each of these two sub-processe

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Lecture Notes in Computer ScienceIn this work, we examine the effect of long-term vocal ageing on a speaker verification system. On a cohort of 13 adult speakers, using a conventional GMM-UBM system, we carry out longitudinal testing of each speaker across a time span of 30-40 years. We uncover a progressive degradation in verifica

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Dmitry Berdinsky,Prohrak Kruengthomyact the face classes and a clustering algorithm to partition the projected face data, thus forming a set of discriminant clusters. Then, an iterative process creates subsets, whose cardinality is defined by an entropy-based measure, that contain the most useful clusters. The best match to the test fa