About the possibility of using speech recognition technologies in problems of assessing the protection of acoustic information from the leakage throught technical channels

This article discusses the possibility of improving the existing instrumental calculation method for assessing the security of meeting rooms by moving from the Pokrovsky formant method to using speech recognition algorithms based on deep neural networks. In our case, it is proposed to use recurrent...

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Bibliographic Details
Published in:Journal of physics. Conference series 2021-02, Vol.1791 (1), p.12046
Main Authors: Ivanov, A V, Salimov, Sh R
Format: Article
Language:English
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Summary:This article discusses the possibility of improving the existing instrumental calculation method for assessing the security of meeting rooms by moving from the Pokrovsky formant method to using speech recognition algorithms based on deep neural networks. In our case, it is proposed to use recurrent neural networks that have shown themselves best in terms of information processing with low SNR ratios. Also, using the long-term short-term memory of a recurrent neural network, it is proposed to improve the test signal. In addition, it substantiates the need to take into account the individual characteristics of the room and the possibility of using interference, such as a "speech choir".
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1791/1/012046