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Stochastic Feature Transformation with Divergence Based Out of Handset Rejection for Robust Speaker Verification

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Table 1: Normalized log likelihood differences of ten handsets (see (15)). Entries with small (large) value mean that the correspondinghandsets are similar (different).
Table 4: Results for seen and unseen handsets with different characteristics. Equal error rates (%) are achieved by the baseline, CMS, andthe three handset selector integration approaches shown in Table 3, with handsets cb3 and cb4 being used as the unseen
Figure 3: DET curves obtained by using the seen handset cb1 in theverification sessions
Table 5: Results for seen and unseen handsets with similar characteristics. Equal error rates (%) are achieved by the baseline, CMS, and thethree handset selector integration approaches shown in Table 3, with handsets cb3 and el2 being used as the unseen h
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