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A Unified Framework for Score Normalization Techniques Applied to Text Independent Speaker Verification
Type of publication: Idiap-RR
Citation: mariethoz:rr04-62
Number: Idiap-RR-62-2004
Year: 2004
Institution: IDIAP
Note: Published in IEEE Signal Processing Letters, Volume 12
Abstract: The purpose of this paper is to unify several of the state-of-the-art score normalization techniques applied to text-independent speaker verification systems. We propose a new framework for this purpose. The two well-known Z- and T-normalization techniques can be easily interpreted in this framework as different ways to estimate score distributions. This is useful as it helps to understand the various assumptions behind these well-known score normalization techniques, and opens the door for yet more complex solutions. Finally, some experiments on the Switchboard database are performed in order to illustrate the validity of the new proposed framework.
Userfields: ipdmembership={learning},
Projects Idiap
Authors MariƩthoz, Johnny
Bengio, Samy
Crossref by mariethoz:ieee-letters:2005
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