An FPGA implementation of the local global graph-based voice biometric authentication scheme

Authors:
Raghudeep Kannavara;George Bebis;Nikolaos Bourbakis
Affiliations:
Wright State University, College of Engineering ATR Center, Dayton, OH;University of Nevada-Reno, CSE Dept., Reno, NV;Wright State University, College of Engineering ATR Center, Dayton, OH and AIIS Inc., Dayton, Ohio
Venue:
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
Year:
2009

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Abstract

In this work, we present a novel method for authentication based on voice biometrics. Local graphs of the preprocessed 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.