Speaker verification using probabilistic 2D CLAFIC

User-specific subspace method, such as CLAFIC concatenates the speech matrices side by side leads to a high dimensional feature space before forming the correlation matrix. We propose an enhanced CLAFIC method in speaker veri. cation, coined as Probabilistic 2D CLAFIC which apply a straightforward 2...

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Bibliographic Details
Main Authors: Ying, Chong Lee, Teoh, Andrew BJ
Format: Article
Published: IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG 2007
Subjects:
Online Access:http://shdl.mmu.edu.my/3085/
Description
Summary:User-specific subspace method, such as CLAFIC concatenates the speech matrices side by side leads to a high dimensional feature space before forming the correlation matrix. We propose an enhanced CLAFIC method in speaker veri. cation, coined as Probabilistic 2D CLAFIC which apply a straightforward 2D speech matrix projection technique for feature dimension reduction and GMM is used to construct the speaker model to boost up the performance. Our results show the superior performance and low computation time in the proposed system.