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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kannavara, R. Bebis, G. Bourbakis, N. |
| Copyright Year | 2009 |
| Description | Author affiliation: University of Nevada-Reno, CSE Dept., USA (Bebis, G.) || Wright State University, College of Engineering ATR Center, Joshi Eng. Building, Dayton, OH, USA (Kannavara, R.; Bourbakis, N.) |
| Abstract | In this work, we present a novel method for authentication based on voice biometrics. Local graphs of the pre-processed speech signal are first calculated by feature extraction and combined to form a Global graph that is stored in a database for the purpose of authentication. The distance between the Global graphs of the presented test speech signal and the stored reference speech signal is then calculated and based on a threshold, speaker authenticity is established. |
| Starting Page | 1 |
| Ending Page | 7 |
| File Size | 502569 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781424432974 |
| DOI | 10.1109/ICDSP.2009.5201175 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-05 |
| Publisher Place | Greece |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Field programmable gate arrays Biometrics Authentication Speech Feature extraction Hardware Spatial databases Signal processing Software testing Clocks feature extraction Biometric FPGA LG Graph authentication |
| Content Type | Text |
| Resource Type | Article |
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