Gaussian mixture model support vector machine (GMMSVM) with nuisance attribute projection (NAP) has been found to be effective and reliable for speaker and language recognition. In maximum a posteriori (MAP) adaptation of GMM, the relevance factor is the parameter that regulates how much the adaptation data affect the base model, which impacts the final recognition performance. In our previous ...

Nuisance Attribute Projection (NAP) provides an effective method of removing the unwanted session variability in a Support Vector Machine (SVM) based speaker recognition system by removing the principal components of this variability. There is no guarantee with the methods proposed, however, that desired speaker variability is retained. This paper investigates the possibility of training NAP di...

This paper presents a novel framework for unsupervised compensation of within-speaker variability in the context of speaker diarization. Audio session is divided into overlapping short segments, each one parameterized by a GMM-supervector. For each session independently within-speaker variability is estimated in an unsupervised manner, and is compensated using the nuisance attribute projection ...

This paper presents Scatter Difference Nuisance Attribute Projection (SD-NAP) as an enhancement to NAP for SVM-based speaker verification. While standard NAP may inadvertently remove desirable speaker variability, SD-NAP explicitly de-emphasises this variability by incorporating a weighted version of the between-class scatter into the NAP optimisation criterion. Experimental evaluation of SD-NA...

In this paper, a method for estimating the size of relational query results is proposed. The approach is based on the estimates of the attribute distinct values. On the basis of our method, a set of parameters, the socalled Canonical Coefficients, can be derived from actual data; they allow us to approximate both the multivariate data distribution and distinct values of attributes. In particula...

In this paper, we introduce a new concept of volumes difference function of the projection and intersection bodies. Following this, we establish the Minkowski and Brunn-Minkowski inequalities for volumes difference function of the projection and intersection bodies.

An enterprise resource planning (ERP) software is needed for industries and companies that want to develop in future. Many of the manufactures and companies have a problem with ERP software selection. An inappropriate selection process can affect both the implementation and the performance of the company significantly. Although several models are proposed to solve this problem many of them did n...

Illumination induced appearance changes represent one of the open challenges in automated face recognition systems still significantly influencing their performance. Several techniques have been presented in the literature to cope with this problem; however, a universal solution remains to be found. In this paper we present a novel normalization scheme based on the nuisance attribute projection...

Brick plays a significant role in building construction. So we should use the effective mathematical decision making tool to select quality clay-bricks for building construction. The purpose of this paper is to present a projection model of neutrosophic numbers and its decision-making method for the selecting problems of clay-bricks with neutrosophic number information. The projection method of...

Most models of how perceivers infer the widespread attitudes and qualities of social groups revolve around either the self (social projection, false consensus) or stereotypes (stereotyping). The author suggests people rely on both of these inferential strategies, with perceived general similarity moderating their use, leading to increased levels of projection and decreased levels of stereotypin...