One-to-many eigenvoice conversion (EVC) allows the conversion of a specific source speaker into arbitrary target speakers. Eigenvoice Gaussian mixture model (EV-GMM) is trained in advance with multiple parallel data sets consisting of the source speaker and many pre-stored target speakers. The EV-GMM is adapted for arbitrary target speakers using only a few utterances by estimating a small numb...

In this paper we aim to improve the performance of Gaussian Mixture Model (GMM) classifier using Impostor model parameters for a closed set Speaker Identification task. We propose a novel method of speaker model training which uses the parameters of an Impostor Model to discriminatively train, in order to improve the performance of the GMM based classifier. This is unlike conventional technique...

A fast forward feature selection algorithm is presented in this paper. It is based on a Gaussian mixture model (GMM) classifier. GMM are used for classifying hyperspectral images. The algorithm selects iteratively spectral features that maximizes an estimation of the classification rate. The estimation is done using the k-fold cross validation. In order to perform fast in terms of computing tim...

To overcome the defects of common used algorithms based on model for abnormal speech recognition, which existed insufficient training data and difficult to fit each type of abnormal characters, an abnormal speech detection method based on GMM-UBM was proposed in this paper. For compensating the defects of methods based on model which difficult to deal with the diversification speech. Firstly, m...

Gaussian mixture models (GMMs) have proven extremely successful for textindependent speaker verification. The standard training method for GMM models is to use MAP adaptation of the means of the mixture components based on speech from a target speaker. In this work we look into the various models (GMM-UBM and GMM-SVM) and their application to speaker verification. In this paper, features vector...

Abstract Environmental and energy issues have become a stumbling block to China’s sustainable development, so opening up green development path has the focus of much attention. To investigate impact finance on carbon dioxide (CO 2 ) emissions, this paper uses difference systematic generalized method moment (GMM) estimators. The research sample includes panel data for Chinese 30 provinces from 2...

This paper discusses the occurrence of skill-enhancing technology import, namely the relationship between imports of embodied technology and widening skill-based employment di¤erentials in low and middle-income countries. GMM techniques are applied to an original panel dataset comprising 28 manufacturing sectors for 23 countries over a decade. Econometric results provide robust evidence of the ...

This paper aims to analyse the statistical significance of MFIs’ and banks’ performance on economic development through a GMM panel analysis between 1999 2016. Our main contributions previous literature are twofold. Firstly, we consider greater variety indicators capture different aspects performance. Secondly, besides traditional channels transmission such as investment human capital, account ...