Analysis of the utility of classical and novel speech quality measures for speaker verification
Entity
UAM. Departamento de Ingeniería InformáticaPublisher
Springer Berlin HeidelbergDate
2009Citation
10.1007/978-3-642-01793-3_45
Advances in Biometrics: Third International Conference, ICB 2009, Alghero, Italy, June 2-5, 2009. Proceedings. Lecture Notes in Computer Science, Volumen 5558. Springer, 2009. 434-442
ISSN
0302-9743 (print); 1611-3349 (online)ISBN
978-3-642-01792-6 (print); 978-3-642-01793-3 (online)DOI
10.1007/978-3-642-01793-3_45Funded by
This work has been supported by the Spanish Ministry of Education under project TEC2006-13170-C02-01.Editor's Version
http://dx.doi.org/10.1007/978-3-642-01793-3_45Subjects
Degradation indicator; Quality; SNR; Speaker verification; Utility; InformáticaNote
Proceedings of Third International Conference, ICB 2009, Alghero, ItalyThe final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-01793-3_45
Rights
© Springer-Verlag Berlin Heidelberg 2009Abstract
In this work, we analyze several quality measures for speaker verification from the point of view of their utility, i.e., their ability to predict performance in an authentication task. We select several quality measures derived from classic indicators of speech degradation, namely ITU P.563 estimator of subjective quality, signal to noise ratio and kurtosis of linear predictive coefficients. Moreover, we propose a novel quality measure derived from what we have called Universal Background Model Likelihood (UBML), which indicates the degradation of a speech utterance in terms of its divergence with respect to a given universal model. Utility of quality measures is evaluated following the protocols and databases of NIST Speaker Recognition Evaluation (SRE) 2006 and 2008 (telephone-only subset), and ultimately by means of error-vs.-rejection plots as recommended by NIST. Results presented in this study show significant utility for all the quality measures analyzed, and also a moderate decorrelation among them.
Files in this item
Google Scholar:Harriero, Alberto
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Ramos Castro, Daniel
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González Rodríguez, Joaquín
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Fiérrez Aguilar, Julián
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