NDLI: Speaker verification with combined threshold, identification front-end, and UBM

Content Provider	IEEE Xplore Digital Library
Author	Fan, N. Rosca, J. Balan, R.
Copyright Year	2005
Description	Author affiliation: Siemens Corp. Res., Princeton, NJ, USA (Fan, N.; Rosca, J.; Balan, R.)
Abstract	This paper presents a novel approach to improve accuracy performance of a speaker verification system through combination or cascading three different verification methods using an identification "front-end", a universal background model, and an individual matching score threshold. The performance of a speaker verification system can be determined in terms of false rejection rate and false acceptance rate using a standard benchmark speech corpus, which represents fixed common populations in testing voice and claimed identities. By further assuming uniform distributions, it can show analytically that the false acceptance rate of a standalone system either using the threshold or the universal background model can be significantly reduced when combined with the identification ''front-end''. Experiments have provided clear evidence, and even more gains to combine all three methods together. The results show 60% reduction in the false acceptance rate for combining with the identification "front-end" alone, and 80% reduction for combining all three methods without adding penalty in the false rejection rate.
Sponsorship	CUBS (Center for Unified Biometrics and Sensors) Ultra-Scan CUBRC
Starting Page	112
Ending Page	117
File Size	107273
Page Count	6
File Format	PDF
ISBN	0769524753
DOI	10.1109/AUTOID.2005.45
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-10-17
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robustness Support vector machines Kernel Loudspeakers Performance analysis Benchmark testing Speech System testing Boosting Neural networks
Content Type	Text
Resource Type	Article

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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
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