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AIP Conference Proceedings. 3rd International Conference on Advances in Science, Engineering, and Digital Education, ASEDU 2022. Krasnoyarsk. 8 December 2022 до 10 December 2022

ISSN:0094243

2024

Goncharenko, Yu.Yu.¹

Zhukov, A.O.²

10.1063/5.0182414

The paper proposes a variant of describing the propagation of speech signals under ideal conditions using the mathematical apparatus of Radon in the interests of their subsequent identification. The task of describing the propagation of speech signals has been formulated and it has been shown that the main goal of its solution is to develop a universal mathematical apparatus based on a generalized mathematical model of acoustic wave propagation, which is considered as a spherically symmetric function from the distance to the wave source, described by the Radon transform, which provides automation identification and increases the efficiency of the removal of speech information. The concept of ideal conditions for the propagation of speech signals is described, under which it is necessary to have a point omnidirectional sound source, the constancy of the parameters of acoustic receiving devices, a homogeneous unlimited environment limited only by a flat earth's surface and described by a mathematical model with the Radon transform, where the Fourier transform is understood as the corresponding equivalent norm. A variant of describing the propagation of speech signals under ideal conditions using the mathematical apparatus of Radon is proposed, which makes it possible to identify the received signals, in which all the properties and features of the emitted speech signals that determine their belonging to a fixed object of generation of these signals, propagating under ideal conditions for unlimited distances before registration receiving devices retain all these properties and features. The presence in the database and knowledge of mappings of these properties and features, accumulated and replenished during the execution of applied tasks for the removal of speech information, makes it possible to automate the identification of received signals and fixed objects of their generation. © 2024 American Institute of Physics Inc.. All rights reserved

2024-02-07 11:30:05 (квартал- IV)