Abstract:
The widespread use of biometric systems
entails increased interest from cybercriminals
aimed at developing attacks to crack
them. Thus, the development of biometric
identification systems must be carried out
taking into account protection against these
attacks. The development of new methods
and algorithms for identification based on
the presentation of randomly generated
key features from the biometric base of
user standards will help to minimize the
disadvantages of the above methods of
biometric identification of users. We present
an implementation of a security system
based on voice identification as an access
control key and a verification algorithm
developed using MATLAB function blocks
that can authenticate a person's identity by
his or her voice. Our research has shown an
accuracy of 90 % for this user identification
system for individual voice characteristics.
It has been experimentally proven that
traditional MFCCs using DNN and i and
x-vector classifiers can achieve good results.
The paper considers and analyzes the most
well-known approaches from the literature
to the problem of user identification by
voice: dynamic programming methods,
vector quantization, mixtures of Gaussian
processes, hidden Markov model. The
developed software package for biometric
identification of users by voice and the
method of forming the user's voice standards
implemented in the complex allow reducing
the number of errors in identifying users
of information systems by voice by an
average of 1.5 times. Our proposed system
better defines voice recognition in terms
of accuracy, security and complexity. The
application of the results obtained will
improve the security of the identification
process in information systems from various
attacks.
