Speaker Verification Based Fractal Geometry

Loay    George; Laith   Al-Ani; Mohammed   Mahdi

doi:10.24996/ijs.2006.47.1.%g

Authors

Loay George Department of Astronomy, College of Science, University of Baghdad, Baghdad-Iraq.
Laith Al-Ani Department of physics, College of Science, University of Al-Nahrain. Baghdad-Iraq.
Mohammed Mahdi Department of physics, College of Science, University of Al-Nahrain. Baghdad-Iraq.

DOI:

https://doi.org/10.24996/ijs.2006.47.1.%25g

Keywords:

Verification, Geometry

Abstract

The research shows that the fractal structure of the speech signal exhibits
fractal characteristics. The encouraging analysis results indicated that the fractal
dimension have good discrimination capabilities for speech signal, where it gave
a speaker recognition percentage about 70% (In the field of research for a single
parameter this percentage be valued), and these capabilities are strongly depends
on the setting situations of the recording process. The pitch period is the another
used parameter supported to the fractal dimension to strengthen the verification
decision. Where the pitch period estimated by a new suggested simple method to
gave a speaker verification percentage about 90%. The coalition work of the two
parameters (fractal dimension and pitch period) gave a speaker verification
percentage of about 85%.