Confidence and reliability measures in speaker verification |
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Authors: | Jonas Richiardi Andrzej Drygajlo Plamen Prodanov |
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Institution: | Signal Processing Institute, Swiss Federal Institute of Technology Lausanne, EPFL-STI-ITS-LIDIAP, ELD 243, Station 11, 1015 Lausanne, Switzerland |
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Abstract: | Speaker verification is a biometric identity verification technique whose performance can be severely degraded by the presence of noise. Using a coherent notation, we reformulate and review several methods which have been proposed to quantify the uncertainty in verification results, some with a view to coping with the effects of mismatched training-testing environments. We also include a recently proposed method, which is firmly rooted in a probabilistic approach and interpretation, and explicitly measures signal quality before assigning a reliability value to the speaker verification classifier's decision. We evaluate the performance of the confidence and reliability measures over a noisy 251-users database, showing that taking into account signal-domain quality can lead to better accuracy in prediction of classifier errors. We discuss possible strategies for using the measures in a speaker verification system, balancing acquisition duration and verification error rate. |
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Keywords: | Confidence estimation Reliability estimation Error modelling Speaker verification Bayesian networks |
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