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Designing of system the unstructured speech information analysis


M.P. Farkhadov – Dr. Sc. (Eng.), Head of Laboratory. «Automated queuing systems and signal processing», V.A. Trapeznikov Institute of Control Sciences of RAS (Moscow). E-mail: S.V. Vaskovsky – Ph.D. (Eng.), Senior Research Scientist, V.A. Trapeznikov Institute of Control Sciences of RAS (Moscow). E-mail: V.A. Smirnov – Applicant, V.A. Trapeznikov Institute of Control Sciences of RAS (Moscow). E-mail: M.E. Farkhadova – Ph.D. (Philol.) Senior Lecturer, Russian People\'s Friendship University (Moscow). E-mail:

In this paper we consider the design of the applied system for the analysis of the unstructured speech data by using the software speech analytics package «ANALYZE» as example, with a key focus on the implementation of its linguistic component and a human-machine interface. We describe the solution architecture and modules interaction logic, the parameters of the key scientific modules and the human-machine interface of the system. As a conclusion, we provide the results of applying the system as a way to improve the quality of the organization of queueing and information services systems. At present modern storage systems exist, as well as automated data collection implementations collecting data from virtually all sources, including speech data. Obviously, the manual processing and analysis of the modern speech data flow is a complex and time-consuming task. Therefore it is vital to use an automated speech analysis system in order to help users get entirely new opportunities to study and control the situation, take operational management decisions and further plan related activities in the public sphere and business workspace. Research and development of automated systems for unstructured analysis of digitalized audio data which does not contain text transcript or key word indication is a prospective area of science. The main application of such systems is ensuring security (national, business or personal) and improving the quality of service (public, contractors and customers), which allows including them into such priority areas of science, technology and engineering of Russian Federation as \"Security and Terrorism Prevention\" and \"Information and communication technologies.\" It is notable that by providing the improved security and quality of service the system entails significant cost reduction thanks to a more rapid response to critical situations, and continuous effectiveness improvement of interaction with partners of modern organizations.


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