Probabilistic random projections and speaker verification

Biometrics is susceptible to non-revocable and privacy invasion problems. Multiple Random Projections (MRP) was introduced as one of the cancellable biometrics approaches in face recognition to tackle these issues. However, this technique is applicable only to 1D fixed length biometric feature vecto...

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Main Authors: Ying, Chong Lee, Jin, Andrew Teoh Beng
Format: Conference or Workshop Item
Published: 2007
Subjects:
Online Access:http://shdl.mmu.edu.my/3129/
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author Ying, Chong Lee
Jin, Andrew Teoh Beng
author_facet Ying, Chong Lee
Jin, Andrew Teoh Beng
author_sort Ying, Chong Lee
building MMU Institutional Repository
collection Online Access
description Biometrics is susceptible to non-revocable and privacy invasion problems. Multiple Random Projections (MRP) was introduced as one of the cancellable biometrics approaches in face recognition to tackle these issues. However, this technique is applicable only to 1D fixed length biometric feature vector but failed in varying size feature, such as speech biometrics. Besides, simple matching metric that used in MRP unable to offer a satisfactory verification performance. In this paper, we propose a variant of MRP, coined as Probabilistic Random Projections (PRP) in text-independent speaker verification. The PRP represents speech feature in 2D matrix format and speaker modeling is implemented through Gaussian Mixture Model. The formulation is experimented under two scenarios (legitimate and stolen token) using YOHO speech database. Besides that, desired properties such as one-way transformation and diversity are also examined.
first_indexed 2025-11-14T18:09:30Z
format Conference or Workshop Item
id mmu-3129
institution Multimedia University
institution_category Local University
last_indexed 2025-11-14T18:09:30Z
publishDate 2007
recordtype eprints
repository_type Digital Repository
spelling mmu-31292011-10-04T01:37:52Z http://shdl.mmu.edu.my/3129/ Probabilistic random projections and speaker verification Ying, Chong Lee Jin, Andrew Teoh Beng T Technology (General) QA75.5-76.95 Electronic computers. Computer science Biometrics is susceptible to non-revocable and privacy invasion problems. Multiple Random Projections (MRP) was introduced as one of the cancellable biometrics approaches in face recognition to tackle these issues. However, this technique is applicable only to 1D fixed length biometric feature vector but failed in varying size feature, such as speech biometrics. Besides, simple matching metric that used in MRP unable to offer a satisfactory verification performance. In this paper, we propose a variant of MRP, coined as Probabilistic Random Projections (PRP) in text-independent speaker verification. The PRP represents speech feature in 2D matrix format and speaker modeling is implemented through Gaussian Mixture Model. The formulation is experimented under two scenarios (legitimate and stolen token) using YOHO speech database. Besides that, desired properties such as one-way transformation and diversity are also examined. 2007-08 Conference or Workshop Item NonPeerReviewed Ying, Chong Lee and Jin, Andrew Teoh Beng (2007) Probabilistic random projections and speaker verification. In: International Conference on Biometrics, 27-29 AUG 2007 , Seoul, SOUTH KOREA . http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=1&SID=P134MAkCH31Bc5dEbLl&page=115&doc=1143
spellingShingle T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
Ying, Chong Lee
Jin, Andrew Teoh Beng
Probabilistic random projections and speaker verification
title Probabilistic random projections and speaker verification
title_full Probabilistic random projections and speaker verification
title_fullStr Probabilistic random projections and speaker verification
title_full_unstemmed Probabilistic random projections and speaker verification
title_short Probabilistic random projections and speaker verification
title_sort probabilistic random projections and speaker verification
topic T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
url http://shdl.mmu.edu.my/3129/
http://shdl.mmu.edu.my/3129/