This paper presents a review of various speaker verification approaches in realistic world, and explore a combinational approach between Gaussian Mixture Model (GMM) and Support Vector Machine (SVM) as well as Gaussian Mixture Model (GMM) and Universal Background Model (UBM).

T his paper investigates the impact of monetary policies on the exchange rate of selected developing countries during the period 2001-2010. For this purpose, in addition to the theoretical explanation, dynamic panel data based on the generalized method of moments (GMM) have been used to estimate the model. Our findings indicate that the lag of exchange rate variable has a positive and signific...

Language recognition with support vector machines and shifteddelta cepstral features has been an excellent performer in NISTsponsored language evaluation for many years. A novel improvement of this method has been the introduction of hybrid SVM/GMM systems. These systems use GMM supervectors as an SVM expansion for classification. In prior work, methods for scoring SVM/GMM systems have been int...

This paper investigates the behavior of the first-difference GMM estimator for dynamic panel data models when persistency of data is (moderately) strong and initial conditions are unrestricted. We show that initial conditions affect the rate of convergence of the GMM estimator under a local to unity system where autoregressive parameter is modeled as αN = 1− c/Np where N is the cross-sectional ...

This paper describes the voice conversion based on the Mixtures of Factor Analyzers (MFA) which can provide an efficient modeling with a limited amount of training data. As a typical spectral conversion method, a mapping algorithm based on the Gaussian Mixture Model (GMM) has been proposed. In this method two kinds of covariance matrix structures are often used : the diagonal and full covarianc...

This paper presents a novel statistical sample-based approach for Gaussian Mixture Model (GMM)-based Voice Conversion (VC). Although GMM-based VC has the promising flexibility of model adaptation, quality in converted speech is significantly worse than that of natural speech. This paper addresses the problem of inaccurate modeling, which is one of the main reasons causing the quality degradatio...

This fresh examination was a thought-provoking area that required to be undertaken and fill this gap, the researchers have examined impact of Covid-19 health expenditure on global supply chain by utilizing balanced panel data for period from January 2020 June 2020. study utilized random effect, fixed GMM, FGLS approach. The outcomes COVID-19 demonstrate significant negative influence as per mod...

In an effort to improve the small sample properties of generalized method of moments (GMM) estimators, a number of alternative estimators have been suggested. These include empirical likelihood (EL), continuous updating, and exponential tilting estimators. We show that these estimators share a common structure, being members of a class of generalized empirical likelihood (GEL) estimators. We us...

In an effort to improve the small sample properties of generalized method of moments (GMM) estimators, a number of alternative estimators have been suggested. These include empirical likelihood (EL), continuous updating, and exponential tilting estimators. We show that these estimators share a common structure, being members of a class of generalized empirical likelihood (GEL) estimators. We us...