Paper
17 May 2011 C-BET evaluation of voice biometrics
Dmitry O. Gorodnichy, Michael Thieme, David Bissessar, Jessica Chung, Elan Dubrofsky, Jonathon Lee
Author Affiliations +
Abstract
C-BET is the Comprehensive Biometrics Evaluation Toolkit developed by CBSA in order to analyze the suitability of biometric systems for fully-automated border/access control applications. Following the multiorder score analysis and the threshold-validated analysis defined within the C-BET framework, the paper presents the results of the C-BET evaluation of a commercial voice biometric product. In addition to error tradeoff and ranking curves traditionally reported elsewhere, the paper presents the results on the newly introduced performance metrics: threshold-validated recognition ranking and non-confident decisions due to multiple threshold-validated scores. The results are obtained on over a million voice audio clip comparisons. Good biometric evaluation practices offered within C-BET framework are presented.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dmitry O. Gorodnichy, Michael Thieme, David Bissessar, Jessica Chung, Elan Dubrofsky, and Jonathon Lee "C-BET evaluation of voice biometrics", Proc. SPIE 8029, Sensing Technologies for Global Health, Military Medicine, Disaster Response, and Environmental Monitoring; and Biometric Technology for Human Identification VIII, 80291Q (17 May 2011); https://doi.org/10.1117/12.883533
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Biometrics

Biological research

Statistical analysis

Computing systems

Control systems

Visual analytics

Visualization

Back to Top