Identification and human condition analysis based on the human voice analysis

Oleksandr Yu. Mieshkov; Oleksandr O. Novikov; Vsevolod O. Novikov; Leonid S. Fainzilberg; Andrzej Kotyra; Saule Smailova; Ainur Kozbekova; Baglan Imanbek

doi:10.1117/12.2281003

7 August 2017 Identification and human condition analysis based on the human voice analysis

Oleksandr Yu. Mieshkov, Oleksandr O. Novikov, Vsevolod O. Novikov, Leonid S. Fainzilberg, Andrzej Kotyra, Saule Smailova, Ainur Kozbekova, Baglan Imanbek

Author Affiliations +

Proceedings Volume 10445, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017; 104453T (2017) https://doi.org/10.1117/12.2281003
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2017, 2017, Wilga, Poland

Abstract

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 is capable of identifying 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.

Citation Download Citation

Oleksandr Yu. Mieshkov, Oleksandr O. Novikov, Vsevolod O. Novikov, Leonid S. Fainzilberg, Andrzej Kotyra, Saule Smailova, Ainur Kozbekova, and Baglan Imanbek "Identification and human condition analysis based on the human voice analysis", Proc. SPIE 10445, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017, 104453T (7 August 2017); https://doi.org/10.1117/12.2281003

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available