<?xml version='1.0' encoding='utf-8'?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd">
<article article-type="research-article" dtd-version="1.2" xml:lang="ru" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><front><journal-meta><journal-id journal-id-type="issn">2518-1092</journal-id><journal-title-group><journal-title>Research result. Information technologies</journal-title></journal-title-group><issn pub-type="epub">2518-1092</issn></journal-meta><article-meta><article-id pub-id-type="doi">10.18413/2518-1092-2016-1-4-21-24</article-id><article-id pub-id-type="publisher-id">890</article-id><article-categories><subj-group subj-group-type="heading"><subject>COMPUTER SIMULATION</subject></subj-group></article-categories><title-group><article-title>RESEARCH OF SENSITIVITY OF SOME MEASURES OF QUALITY ASSESSMENT OF HIDDEN INFORMATION IN THE AUDIO CONTENT</article-title><trans-title-group xml:lang="en"><trans-title>RESEARCH OF SENSITIVITY OF SOME MEASURES OF QUALITY ASSESSMENT OF HIDDEN INFORMATION IN THE AUDIO CONTENT</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Lykholob</surname><given-names>Peter Georgievich</given-names></name><name xml:lang="en"><surname>Lykholob</surname><given-names>Peter Georgievich</given-names></name></name-alternatives><email>likholob@bsu.edu.ru</email></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Medvedeva</surname><given-names>Aleksandra Aleksandrovna</given-names></name><name xml:lang="en"><surname>Medvedeva</surname><given-names>Aleksandra Aleksandrovna</given-names></name></name-alternatives><email>Medvedeva_aa@bsu.edu.ru</email></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Likhogodina</surname><given-names>Elizaveta Sergeevna</given-names></name><name xml:lang="en"><surname>Likhogodina</surname><given-names>Elizaveta Sergeevna</given-names></name></name-alternatives><email>elza9313@gmail.ru</email></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Mishina</surname><given-names>Olga Olegovna</given-names></name><name xml:lang="en"><surname>Mishina</surname><given-names>Olga Olegovna</given-names></name></name-alternatives><email>olgamishina96@gmail.com</email></contrib></contrib-group><pub-date pub-type="epub"><year>2016</year></pub-date><volume>1</volume><issue>4</issue><fpage>0</fpage><lpage>0</lpage><self-uri content-type="pdf" xlink:href="/media/information/2016/4/3_it.pdf" /><abstract xml:lang="ru"><p>The paper presents a comparison of some measures of difference between the original signal and the result of the introduction of additional information. The comparison was based on the analysis of the implementation of the results-based steganographic method of spectrum spreading. The paper presents the results of the comparison of some measures of difference based on the analysis of speech signals in their division into segments of equal length.</p></abstract><trans-abstract xml:lang="en"><p>The paper presents a comparison of some measures of difference between the original signal and the result of the introduction of additional information. The comparison was based on the analysis of the implementation of the results-based steganographic method of spectrum spreading. The paper presents the results of the comparison of some measures of difference based on the analysis of speech signals in their division into segments of equal length.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>speech signals</kwd><kwd>steganography</kwd><kwd>measures of differences</kwd><kwd>correlation coefficient</kwd><kwd>mean square error</kwd><kwd>signal-to-noise ratio</kwd><kwd>Itakura-Saito measure of distance</kwd></kwd-group><kwd-group xml:lang="en"><kwd>speech signals</kwd><kwd>steganography</kwd><kwd>measures of differences</kwd><kwd>correlation coefficient</kwd><kwd>mean square error</kwd><kwd>signal-to-noise ratio</kwd><kwd>Itakura-Saito measure of distance</kwd></kwd-group></article-meta></front><back><ref-list><title>Список литературы</title><ref id="B1"><mixed-citation>Iser B., Schmidt G., Minker W. Bandwidth extension of speech signals. NY: Springer Science &amp;amp; Business Media, 2008. 190 p.</mixed-citation></ref><ref id="B2"><mixed-citation>Zhilyakov E. G. Optimal sub-band methods for analysis and synthesis of finite-duration signals // Automation and Remote Control. 2015. P. 76, № 4. Pp.&amp;nbsp;589-602.</mixed-citation></ref><ref id="B3"><mixed-citation>Fridrich, J. Steganography in digital media: Principles, algorithms, and applications, Steganography in Digital Media. 2012. Pp. 1-441.</mixed-citation></ref><ref id="B4"><mixed-citation>Furui, Sadaoki. Digital speech processing, synthesis, and recognition. 2nd ed., rev. and expanded. New-York, USA: Marcel Dekker inc, 2000. 477 p.</mixed-citation></ref><ref id="B5"><mixed-citation>Nedeljko Cvejic, Tapio Seppanen. Spread spectrum audio watermarking using frequency hopping and attack characterization// Signal Processing, 2004.&amp;nbsp; №84. Pp. 207-213.</mixed-citation></ref><ref id="B6"><mixed-citation>Steganalysis of audio based on audio quality metrics /Ozer H., Avcibas, I., Sankur, B., Memon, N.D.// The International Society for Optical Engineering 5020. 2003. Pp. 55-66.</mixed-citation></ref><ref id="B7"><mixed-citation>Stanković, S., Orović, I., Sejdić, E. Multimedia signals and systems. Springer, 2012. 373 p.</mixed-citation></ref><ref id="B8"><mixed-citation>Thierry Dutoit, Ferran Marques. 2009. Applied Signal Processing. A MATLAB TM-Based Proof of Concept. Springer, 2009. 456 p.</mixed-citation></ref><ref id="B9"><mixed-citation>Vercoe B.L. Csound: A Manual for the Audio-Processing System, MIT Media Lab, Cambridge, 1995.</mixed-citation></ref><ref id="B10"><mixed-citation>Zhilyakov E.G. Optimal subband methods of analysis and synthesis of signals of finite duration / Automation and Remote Control. M .: Academic Scientific Publishing, Production and Publishing and Bookselling Center of the Russian Academy of Science &amp;quot;Publishing House&amp;quot; Science &amp;quot;№ 4, 2015. Pp. 51-66.</mixed-citation></ref><ref id="B11"><mixed-citation>Hicsonmez S., Uzun E., Sencar H. T. Methods for identifying traces of compression in audio. Communications, Signal Processing, and their Applications (ICCSPA), 2013 1st International Conference on ‒ IEEE, 2013. Pp. 1-6.</mixed-citation></ref></ref-list></back></article>