2D CLAFIC Subspace Technique in Probabilistic Speaker Verification

User-specific subspace method in speaker recognition, such as CLAFIC is used to construct the individual subspace which represents the distinct spectral characteristic for each speaker. It concatenates the speech matrices side by side before forming the correlation matrix. In this paper, we proposed...

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Main Authors: Chong, L. Y., Teoh, Andrew B.J., Khor, S. E.
Format: Conference or Workshop Item
Published: 2007
Subjects:
Online Access:http://shdl.mmu.edu.my/3182/
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author Chong, L. Y.
Teoh, Andrew B.J.
Khor, S. E.
author_facet Chong, L. Y.
Teoh, Andrew B.J.
Khor, S. E.
author_sort Chong, L. Y.
building MMU Institutional Repository
collection Online Access
description User-specific subspace method in speaker recognition, such as CLAFIC is used to construct the individual subspace which represents the distinct spectral characteristic for each speaker. It concatenates the speech matrices side by side before forming the correlation matrix. In this paper, we proposed a new method, coined as Probabilistic 2D CLAFIC which applied a straightforward two-dimensional (2D) speech matrix for feature dimension reduction to improve the discrimination and reduce the computation complexity. Gaussian Mixture Model (GMM) is used instead of norm of the projected feature in conventional CLAFIC to boost up the performance. Experimental results showed that our proposed method attained an encouraging performance with the best Equal Error Rate (EER) of 0.56% with full feature dimension, and EER of 2.98% with 50% reduction of feature dimension compare to baseline GMM, 5.36%.
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publishDate 2007
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spelling mmu-31822011-10-07T06:31:40Z http://shdl.mmu.edu.my/3182/ 2D CLAFIC Subspace Technique in Probabilistic Speaker Verification Chong, L. Y. Teoh, Andrew B.J. Khor, S. E. T Technology (General) QA75.5-76.95 Electronic computers. Computer science User-specific subspace method in speaker recognition, such as CLAFIC is used to construct the individual subspace which represents the distinct spectral characteristic for each speaker. It concatenates the speech matrices side by side before forming the correlation matrix. In this paper, we proposed a new method, coined as Probabilistic 2D CLAFIC which applied a straightforward two-dimensional (2D) speech matrix for feature dimension reduction to improve the discrimination and reduce the computation complexity. Gaussian Mixture Model (GMM) is used instead of norm of the projected feature in conventional CLAFIC to boost up the performance. Experimental results showed that our proposed method attained an encouraging performance with the best Equal Error Rate (EER) of 0.56% with full feature dimension, and EER of 2.98% with 50% reduction of feature dimension compare to baseline GMM, 5.36%. 2007-06 Conference or Workshop Item NonPeerReviewed Chong, L. Y. and Teoh, Andrew B.J. and Khor, S. E. (2007) 2D CLAFIC Subspace Technique in Probabilistic Speaker Verification. In: 5th IEEE Workshop on Automatic Identification Advanced Technologies, 07-08 JUN 2007, Alghero, ITALY. http://dx.doi.org/10.1109/AUTOID.2007.380620 doi:10.1109/AUTOID.2007.380620 doi:10.1109/AUTOID.2007.380620
spellingShingle T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
Chong, L. Y.
Teoh, Andrew B.J.
Khor, S. E.
2D CLAFIC Subspace Technique in Probabilistic Speaker Verification
title 2D CLAFIC Subspace Technique in Probabilistic Speaker Verification
title_full 2D CLAFIC Subspace Technique in Probabilistic Speaker Verification
title_fullStr 2D CLAFIC Subspace Technique in Probabilistic Speaker Verification
title_full_unstemmed 2D CLAFIC Subspace Technique in Probabilistic Speaker Verification
title_short 2D CLAFIC Subspace Technique in Probabilistic Speaker Verification
title_sort 2d clafic subspace technique in probabilistic speaker verification
topic T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
url http://shdl.mmu.edu.my/3182/
http://shdl.mmu.edu.my/3182/
http://shdl.mmu.edu.my/3182/