Discriminant Analysis Methods Comparison in I-Vector Space for Speaker Verification

2018 ◽  
Author(s):  
Mohsen Mohammadi ◽  
Hamid Reza Sadegh Mohammadi
Keyword(s):  
Discriminant Analysis ◽  
Vector Space ◽  
Speaker Verification ◽  
Methods Comparison ◽  
Analysis Methods

Parameterized Discriminant Analysis Methods

2011 ◽  
pp. 78-105
Author(s):  
David Zhang ◽  
Fengxi Song ◽  
Yong Xu ◽  
Zhizhen Liang
Keyword(s):  
Discriminant Analysis ◽  
Linear Discriminant Analysis ◽  
Scatter Matrix ◽  
Linear Discriminant ◽  
Analysis Methods

In this chapter, we mainly present three kinds of weighted LDA methods. In Sections 5.1, 5.2 and 5.3, we respectively present parameterized direct linear discriminant analysis, weighted nullspace linear discriminant analysis and weighted LDA in the range of within-class scatter matrix. We offer a brief summery of the chapter in Section 5.4.

scholarly journals Classification: Astronomical and Mathematical Overview

1994 ◽  
Vol 161 ◽  
pp. 227-233
Author(s):  
F. Murtagh
Keyword(s):  
Feature Selection ◽  
Discriminant Analysis ◽  
Uncertainty Principle ◽  
User Choice ◽  
Short Overview ◽  
Analysis Methods ◽  
Guide Star

A short overview is presented of a number of different discriminant analysis methods. An ‘uncertainty principle’ is presented in regard to the issue of user choice of appropriate method. The discriminant analysis methods described are then used in the important problem of feature selection. A hand-classified set of HST Guide Star plate data is used, with star/galaxy/fault classes.

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