TY - GEN
T1 - Probabilistic random projections and speaker verification
AU - Ying, Chong Lee
AU - Jin, Andrew Teoh Beng
PY - 2007
Y1 - 2007
N2 - 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 ID 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.
AB - 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 ID 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.
UR - http://www.scopus.com/inward/record.url?scp=37849030222&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=37849030222&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-74549-5_47
DO - 10.1007/978-3-540-74549-5_47
M3 - Conference contribution
AN - SCOPUS:37849030222
SN - 9783540745488
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 445
EP - 454
BT - Advances in Biometrics - International Conference, ICB 2007, Proceedings
PB - Springer Verlag
T2 - 2007 International Conference on Advances in Biometrics, ICB 2007
Y2 - 27 August 2007 through 29 August 2007
ER -