Abstract
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.
Highlights
The rapid development of transport systems, including air, land and water vehicles, is currently accompanied by the active use of automated or automatic systems of various kinds
We propose methods for describing the voice messages of some typical phrases using mathematical models of random processes [2,3,4], which can be used in differern processing algorithms
2) On the basis of a representative sample, spectral characteristics were constructed for each studied voice message, the data were averaged, and the covariance function (CF) values of the studied voice messages were obtained
Summary
The rapid development of transport systems, including air, land and water vehicles, is currently accompanied by the active use of automated or automatic systems of various kinds. Such systems are more focused on the development of autonomous vehicles. Today, such devices are used only for solving highly specialized tasks and usually are performed completely offline, i.e. in the absence of a person inside. In this regard, such vehicles a priori have lower safety requirements. We propose methods for describing the voice messages of some typical phrases using mathematical models of random processes [2,3,4], which can be used in differern processing algorithms
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