ITM Web Conf.
Volume 30, 201929th International Crimean Conference “Microwave & Telecommunication Technology” (CriMiCo’2019)
|Number of page(s)||9|
|Section||Information Technology in Telecommunications (3a)|
|Published online||27 November 2019|
Correlation analysis of voice communications in Russian language in the airspace of the Russian Federation
1 Ulyanovsk State Technical University, 432027 Severny Venets 32, Ulyanovsk, Russia
2 Ulyanovsk Civil Aviation Institute, 432071 Mozhaiskogo 8/8, Ulyanovsk, Russia
* Corresponding author: firstname.lastname@example.org
The spectral characteristics of audio recordings of typical phrases of radio exchange of air traffic controllers and civil aviation pilots are investigated. Based on the obtained spectral characteristics, experimental covariance functions are constructed that show statistical relationships within a single voice message in the time domain. The main attention is paid to the possibility of describing speech messages using mathematical models of random sequences.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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