NDLI: Biometric template protection for speaker recognition based on universal background models

Content Provider	IET Digital Library
Author	Billeb, Stefan Rathgeb, Christian Reininger, Herbert Kasper, Klaus Busch, Christoph
Abstract	(Voice-) biometric data is considered as personally identifiable information, that is, the increasing demand on (mobile) speaker recognition systems calls for applications which prevent from privacy threats, such as identity-theft or tracking without consent. Technologies of biometric template protection, in particular biometric cryptosystems, fulfil standardised properties of irreversibility and unlinkability which represent appropriate countermeasures to such vulnerabilities of conventional biometric recognition systems. Thereby, public confidence in and social acceptance of biometric applications is strengthened. In this work the authors propose a binarisation technique, which is used to extract scalable high-entropy binary voice reference data (templates) from speaker models, based on Gaussian mixture models and universal background models. Binary feature vectors are then protected within a template protection scheme in particular, fuzzy commitment scheme, in which error correction list-decoding is employed to overcome high intra-class variance of voice samples. In experiments, which are evaluated out on a text-independent speaker corpus of 339 individuals, it is demonstrated that the fully ISO/IEC IS 24745 compliant system achieves privacy protection at a negligible loss of biometric performance, confirming the soundness of the presented approach.
Starting Page	116
Ending Page	126
Page Count	11
ISSN	20474938
Volume Number	4
e-ISSN	20474946
Issue Number	Issue 2, Jun (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-bmt/4/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-bmt.2014.0031
Journal	IET Biometrics
Publisher Date	2015-01-19
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Binarisation Technique Biometric Cryptosystems Biometric Recognition System Biometric Template Protection Biomimetics Combinatorial Mathematics Data Privacy Data Security Error Correction List Decoding Fuzzy Commitment Scheme Fuzzy Set Theory Gaussian Mixture Model Gaussian Processes Identity Theft Mobile Speaker Recognition System Personally Identifiable Information Privacy Threats Social Acceptance Speaker Model Speaker Recognition Speech Processing Technique Speech Recognition And Synthesis Statistics Template Protection Scheme Universal Background Model Voice Biometric Data
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Vision and Pattern Recognition Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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