A speaker recognition system using by cross correlation

In this paper, we studied a speaker independent isolated speaker recognition system for Turkish language by using cross correlation technique. The power spectrumpsilas of each keyword speech for different speakerpsilas determined using the linear predictive coding in order to constitute a feature vectors database that consists these spectrums. A new test input power spectrumpsilas then compared with these feature vectors database by using cross correlation technique and obtained the cross correlation valuepsilas of each comparison. The results of matching scores evaluated in different SNR levels and different number of persons.