A Unified Framework for Score Normalization Techniques Applied to Text Independent Speaker Verification
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.
mariethoz-ieee-letters-2005.pdf
openaccess
101.29 KB
Adobe PDF
18af4bedfa3a51f8ab3a0fdfd9c47e22