Identification and human condition analysis based on the human voice analysis

The paper presents a two-stage biotechnical system for human condition analysis that is based on analysis of human voice signal. At the initial stage, the voice signal is pre-processed and its characteristics in time domain are determined. At the first stage, the developed system can identify the person in the database on the basis of the extracted characteristics. At the second stage, the model of a human voice is built on the basis of the real voice signals after clustering the whole database.