@article {10.3844/jcssp.2005.84.88,
article_type = {journal},
title = {Speaker Recognition Using Spectral Cross-correlation: A Fast Algorithm},
author = {Hamici, Zoubir},
volume = {1},
number = {2},
year = {2005},
month = {Oct},
pages = {84-88},
doi = {10.3844/jcssp.2005.84.88},
url = {https://thescipub.com/abstract/jcssp.2005.84.88},
abstract = {This study presents an original algorithm for computing the cross-correlation function applied for speech recognition A spectral correlation estimation algorithm based on the comparing the magnitude spectrum of the two signals is presented. The number of samples is reduced by a factor of two, after eliminating the image spectrum. A moving average filter is used to smooth the magnitude spectrum and a re-sampling is performed in the frequency domain, which reduces the spectrum size, by a factor of 8. The algorithm shows good results in recognizing the voice of a specific person, hence its application in speaker identification.},
journal = {Journal of Computer Science},
publisher = {Science Publications}
}