Volume 11 , Issue 1 , December 2008 , Pages 61-66
Suzan A. Mahmood 1 ; Loay E. George 2
1 College of Science, University of Sulaimani
2 College of Science, University of Baghdad
In this paper, a neural-based system for speaker identification is investigated. The linear predictive
coefficients have been used as a set of descriptors for the speaker data. This set of descriptors is fed to a back
propagation neural network for the purpose of speaker identification. Also, it is found that the process of
segmenting the audio data into slices has great effect on the identification results, the number and length of
slice has major influence on the success of the identification process.