Speaker identification on compactRIO

Author

Farjo, Joan ; Aoun, M.H.J. ; Hamad, Moez ; Kassem, Abdallah ; Hamouche, M.

Author_Institution

Dept. of Electr. & Comput. & Commun. Eng., Notre Dame Univ. Louaize, Zouk Mikael, Lebanon

fYear

2012

fDate

25-28 March 2012

Firstpage

399

Lastpage

403

Abstract

In order to prevent imposters from fraudulently acquiring the access privilege of an authorized person, reliable means of user authenticity are required. The biometric information in general and one´s voice in particular are of such means; therefore a text-independent speaker identification system was built for this concern. What characterizes this paper is its implementation using LabVIEW on National Instruments CompactRIO, a control and acquisition system powered by reconfigurable I/O field-programmable gate array (FPGA) technology. The Mel-Frequency Cepstral Coefficients (MFCC) technique is used for feature extraction from the voice, Vector Quantization (VQ) technique based on the Linde-Buzo-Gray (LBG) algorithm for feature modeling, and the minimum distance classifier for the feature matching. The developed system identifies the user in runtime with high accuracy.

Keywords

biometrics (access control); feature extraction; input-output programs; message authentication; speaker recognition; vector quantisation; virtual instrumentation; FPGA technology; LBG algorithm; LabVIEW; Linde-Buzo-Gray algorithm; MFCC technique; National Instruments; VQ technique; acquisition system; biometric information; compactRIO; feature extraction; feature matching; mel-frequency cepstral coefficients; minimum distance classifier; reconfigurable I/O field-programmable gate array; speaker identification; user authenticity; vector quantization; Feature extraction; Field programmable gate arrays; Filter banks; Instruments; Mel frequency cepstral coefficient; Speech; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrotechnical Conference (MELECON), 2012 16th IEEE Mediterranean

Conference_Location

Yasmine Hammamet

ISSN

2158-8473

Print_ISBN

978-1-4673-0782-6

Type

conf

DOI

10.1109/MELCON.2012.6196458

Filename

6196458