Title :
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
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;
Conference_Titel :
Electrotechnical Conference (MELECON), 2012 16th IEEE Mediterranean
Conference_Location :
Yasmine Hammamet
Print_ISBN :
978-1-4673-0782-6
DOI :
10.1109/MELCON.2012.6196458
