Csiszár’s f -divergence is a way to measure the similarity of two probability distributions. We study the extension of f -divergence to more than two distributions to measure their joint similarity. By exploiting classical results from the comparison of experiments literature we prove the resulting divergence satisfies all the same properties as the traditional binary one. Considering the multi...

In this paper, the supervised maximum-divergence common component GMM (MD-CCGMM) model was used to the speaker-andenvironment change detection in broadcast news signal. In order to discriminate the speaker-and-environment change in broadcast news, the MD-CCGMM signal model will maximize the likelihood of CCGMM signal modeling and the divergence measure of different audio signal segments simulta...

Previous work has demonstrated the promise of frame-level quality measure methods to robust speaker recognition. This paper explores the issues involved in applying soft estimates to quality measures as weighting factors in score computation. A quality measure algorithm using Gaussian mixture density and Jensen divergence measure is presented for traditional GMMUBM scoring mechanism. Derivation...

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In the following paper, one studies, given a bounded, connected open set $\Omega$ $\subseteq$ R n , $\kappa$ > 0, positive Radon measure $\mu$ 0 in and (signed) on satisfying $\mu$($\Omega$) = |$\mu$| $\kappa$$\mu$ possibility of solving equation div u by vector field |u| $\kappa$w (where w is an integrable weight only related to geometry 0), together with mild boundary condition. This extends ...

By employing the differential structure recently developed by N. Gigli, we first give a notion of functions bounded variation (BV) in terms suitable vector fields on complete and separable metric measure space $(\mathbb{X},d,\mu)$ equipped with non-negative Radon $\mu$ finite sets. Then, extend concept divergence-measure $\mathcal{DM}^p(\mathbb{X})$ for any $p\in\[1,\infty]$ and, simply requiri...

In this paper, the concept of the classical f -divergence (for a pair of measures) is extended to the mixed f divergence (for multiple pairs of measures). The mixed f -divergence provides a way to measure the difference between multiple pairs of (probability) measures. Properties for the mixed f -divergence are established, such as permutation invariance and symmetry in distributions. An Alexan...