A two-stage classifier is used to improve the classification performance between normal and pathological voices. A primary classification between normal and pathological voices is achieved by the Gaussian mixture model (GMM) log-likelihood scores. For samples that do not meet the thresholds for normal or disordered voice in the GMM, the final decision is made by a higher-order statistics (HOS)-...

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).

This paper studies optimal decision rules, including estimators and tests, for weakly identified GMM models. We derive the limit experiment GMM, propose a theoretically?motivated class of priors which give rise to quasi?Bayes rules as limiting case. Together with results in previous literature, this establishes desirable properties approach regardless model identification status, we recommend s...