Title :
Two-Stage Decision Making Algorithm for Speaker Verification
Author :
Yaparoglu; Senol
Author_Institution :
Elektrik ve Elektronik Mü
fDate :
6/28/1905 12:00:00 AM
Abstract :
A new decision making algorithm in speaker verification is presented. First, a baseline system is formed using mel- frequency cepstral coefficients (MFCC) as features, and for speaker modeling a radial basis function (RBF) neural network is used. Then, a two-stage decision making algorithm is proposed, which has the aim to eliminate the qualified impostors in the second stage.
Keywords :
"Decision making","Mathematical model","Mel frequency cepstral coefficient","Testing","Cepstral analysis","Neural networks","MATLAB"
Conference_Titel :
Signal Processing and Communications Applications, 2006 IEEE 14th
Print_ISBN :
1-4244-0238-7
DOI :
10.1109/SIU.2006.1659841