we'll show in this research months fingerprints developed
in the criminal investigation, a visual and sound footprint, and
made it clear that these fingerprints applications of interest to
specialists in the science crime and criminal evidence, it
is through
the visual and sound footprint can be identified by the accused and
convicted of their crime or brought them, and finally we determined
that This kind of fingerprinting subject to the principle of legality of
evidence like any other evidence, and nothing prevents the use in
evidence penal taking into account some of the controls that are
indispensable to Legitimacy.
In this paper, the text-independent method of person voice
identification based on the features extraction from speech signal
that characterize the linear prediction of the behavior of the
autocorrelation function of the voice signal cepstrum are
considered
and developed.