Recently, we introduced the sorted Gaussian mixture models (SGMMs) algorithm providing
the means to tradeoff performance for operational speed and thus permitting the speed-up of …

In this paper, we propose a hierarchical mixture clustering method and investigate its
application for complexity reduction of a GMM based speaker identification system. We show …

In this paper we evaluate sorted Gaussian Mixture Model (GMM) system performance for
Text Independent Speaker Verification under the feature domain normalization conditions …

Speaker identification is the computing task of recognizing people's identity based on their
voices. There are two main difficulties in this field. First is how to maintain the accuracy rate …

In this paper, we propose a hierarchical mixture clustering method and investigate its
application for complexity reduction of a GMM based speaker identification system. We show …

We propose yet another Gaussian mixture model (YGMM) for robust speech recognition in
noisy environments. The main difference between the proposed method and previously …

In this work we study an enhanced sorting function for the recently developed sorted GMM,
which is computationally efficient method for implementing the Gaussian mixture model …