<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "JATS-journalpublishing1-3.dtd">
<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">inform</journal-id><journal-title-group><journal-title xml:lang="ru">Информатика</journal-title><trans-title-group xml:lang="en"><trans-title>Informatics</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1816-0301</issn><issn pub-type="epub">2617-6963</issn><publisher><publisher-name>UIIP NASB</publisher-name></publisher></journal-meta><article-meta><article-id custom-type="elpub" pub-id-type="custom">inform-276</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ОБРАБОТКА СИГНАЛОВ, ИЗОБРАЖЕНИЙ, РЕЧИ, ТЕКСТА И РАСПОЗНАВАНИЕ ОБРАЗОВ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>SIGNAL, IMAGE, SPEECH, TEXT PROCESSING AND PATTERN RECOGNITION</subject></subj-group></article-categories><title-group><article-title>АЛГОРИТМ ОПТИМИЗАЦИИ ВХОДНЫХ ПРИЗНАКОВ И ПАРАМЕТРОВ КЛАССИФИКАТОРА ЭМОЦИОНАЛЬНОГО СОСТОЯНИЯ ЧЕЛОВЕКА ПО ЕГО РЕЧИ</article-title><trans-title-group xml:lang="en"><trans-title></trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Пекарь</surname><given-names>Д. В.</given-names></name></name-alternatives><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Тихоненко</surname><given-names>С. Г.</given-names></name></name-alternatives><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Чернявский</surname><given-names>А. Ф.</given-names></name></name-alternatives><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Садов</surname><given-names>В. С.</given-names></name></name-alternatives><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff xml:lang="ru" id="aff-1"><institution>Белорусский государственный университет</institution><country>Belarus</country></aff><pub-date pub-type="collection"><year>2012</year></pub-date><pub-date pub-type="epub"><day>26</day><month>02</month><year>2018</year></pub-date><volume>0</volume><issue>3(35)</issue><fpage>26</fpage><lpage>34</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Пекарь Д.В., Тихоненко С.Г., Чернявский А.Ф., Садов В.С., 2018</copyright-statement><copyright-year>2018</copyright-year><copyright-holder xml:lang="ru">Пекарь Д.В., Тихоненко С.Г., Чернявский А.Ф., Садов В.С.</copyright-holder><copyright-holder xml:lang="en">Пекарь Д.В., Тихоненко С.Г., Чернявский А.Ф., Садов В.С.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://inf.grid.by/jour/article/view/276">https://inf.grid.by/jour/article/view/276</self-uri><abstract><p>Рассматривается алгоритм оптимизации входного вектора признаков и парамет-ров классификатора эмоционального состояния человека, основанный на использованиистохастического метода роя частиц. Предлагаются пути его совершенствования с цельюповышения скорости сходимости алгоритма. Доказывается улучшение точности класси-фикации эмоционального состояния диктора по его речи при использовании оптимизиро-ванного вектора признаков и найденных параметров классификатора.</p></abstract></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Williams, C.E. Emotions and Speech: Some Acoustical Correlates / C.E. Williams // Journal</mixed-citation><mixed-citation xml:lang="en">Williams, C.E. Emotions and Speech: Some Acoustical Correlates / C.E. Williams // Journal</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">of the Acoustical Society of America. – 1972. – Vol. 52, № 4. – P. 1238–1250.</mixed-citation><mixed-citation xml:lang="en">of the Acoustical Society of America. – 1972. – Vol. 52, № 4. – P. 1238–1250.</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Banse, R. Acoustic profiles in vocal emotion expression / R. Banse // Journal of personality</mixed-citation><mixed-citation xml:lang="en">Banse, R. Acoustic profiles in vocal emotion expression / R. Banse // Journal of personality</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">and social psychology. – 1996. – Vol. 70, № 3. – P. 614–636.</mixed-citation><mixed-citation xml:lang="en">and social psychology. – 1996. – Vol. 70, № 3. – P. 614–636.</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Eyben, F. OpenEAR – Introducing the Munich Open-Source Emotion and Affect / F. Eyben // Proc. ACII. – Amsterdam, Netherlands, 2009. – P. 576–581.</mixed-citation><mixed-citation xml:lang="en">Eyben, F. OpenEAR – Introducing the Munich Open-Source Emotion and Affect / F. Eyben // Proc. ACII. – Amsterdam, Netherlands, 2009. – P. 576–581.</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Schuller, B. The interspeech 2009 emotion / B. Schuller // Interspeech. – Brighton, UK, 2009.</mixed-citation><mixed-citation xml:lang="en">Schuller, B. The interspeech 2009 emotion / B. Schuller // Interspeech. – Brighton, UK, 2009.</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Eyben, F. OpenSMILE : the Munich open Speech and Music Interpretation by Large Space</mixed-citation><mixed-citation xml:lang="en">Eyben, F. OpenSMILE : the Munich open Speech and Music Interpretation by Large Space</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Extraction toolkit / F. Eyben, M. Woellmer, B. Schuller. – 2010. – Mode of access :</mixed-citation><mixed-citation xml:lang="en">Extraction toolkit / F. Eyben, M. Woellmer, B. Schuller. – 2010. – Mode of access :</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">http://sourceforge.net/projects/opensmile/files/openSMILE_book_1.0.1.pdf. – Date of access : 20.01.2012.</mixed-citation><mixed-citation xml:lang="en">http://sourceforge.net/projects/opensmile/files/openSMILE_book_1.0.1.pdf. – Date of access : 20.01.2012.</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Berlin Database of Emotional Speech [Electronic resource]. – Technical University Berlin,</mixed-citation><mixed-citation xml:lang="en">Berlin Database of Emotional Speech [Electronic resource]. – Technical University Berlin,</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">– Mode of access : http://pascal.kgw.tu-berlin.de/emodb/index-1024.html. – Date of access : 20.01.2012.</mixed-citation><mixed-citation xml:lang="en">– Mode of access : http://pascal.kgw.tu-berlin.de/emodb/index-1024.html. – Date of access : 20.01.2012.</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Holmes, G. WEKA: a machine learning / G. Holmes // Intelligent Information Systems. –</mixed-citation><mixed-citation xml:lang="en">Holmes, G. WEKA: a machine learning / G. Holmes // Intelligent Information Systems. –</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">– № 29. – P. 357–361.</mixed-citation><mixed-citation xml:lang="en">– № 29. – P. 357–361.</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">John G.H. Estimating Continuous Distributions in Bayesian Classifiers / G.H. John // Proc. of the Eleventh Conf. on Uncertainty in Artificial Intelligence. – San Francisco, USA, 1995. – Vol. 1. – P. 338–345.</mixed-citation><mixed-citation xml:lang="en">John G.H. Estimating Continuous Distributions in Bayesian Classifiers / G.H. John // Proc. of the Eleventh Conf. on Uncertainty in Artificial Intelligence. – San Francisco, USA, 1995. – Vol. 1. – P. 338–345.</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">LIBLINEAR – A Library for Large Linear Classification // Rong-En Fan [et al.]. – 2008. –</mixed-citation><mixed-citation xml:lang="en">LIBLINEAR – A Library for Large Linear Classification // Rong-En Fan [et al.]. – 2008. –</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Mode of access : http://www.csie.ntu.edu.tw/~cjlin/liblinear/. – Date of access : 20.01.2012.</mixed-citation><mixed-citation xml:lang="en">Mode of access : http://www.csie.ntu.edu.tw/~cjlin/liblinear/. – Date of access : 20.01.2012.</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Quinlan, R.J. C4.5: Programs for Machine Learning / R.J. Quinlan // Machine Learning. –</mixed-citation><mixed-citation xml:lang="en">Quinlan, R.J. C4.5: Programs for Machine Learning / R.J. Quinlan // Machine Learning. –</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">– Vol. 16, № 3. – P. 235–240.</mixed-citation><mixed-citation xml:lang="en">– Vol. 16, № 3. – P. 235–240.</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Aha, D.W. Instance-Based Learning Algorithms / D.W. Aha // Machine Learning. – Hingham, USA, 1991. – Vol. 6, № 1. – P. 37–66.</mixed-citation><mixed-citation xml:lang="en">Aha, D.W. Instance-Based Learning Algorithms / D.W. Aha // Machine Learning. – Hingham, USA, 1991. – Vol. 6, № 1. – P. 37–66.</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Kennedy, J. Particle Swarm Optimization / J. Kennedy // Proc. of IEEE Intern. Conf. on</mixed-citation><mixed-citation xml:lang="en">Kennedy, J. Particle Swarm Optimization / J. Kennedy // Proc. of IEEE Intern. Conf. on</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">Neural Networks. – Washington, USA, 1995. – Vol. 4. – P. 1942–1948.</mixed-citation><mixed-citation xml:lang="en">Neural Networks. – Washington, USA, 1995. – Vol. 4. – P. 1942–1948.</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">Sun, J. Particle Swarm Optimization with particles having Quantum Behavior / J. Sun //</mixed-citation><mixed-citation xml:lang="en">Sun, J. Particle Swarm Optimization with particles having Quantum Behavior / J. Sun //</mixed-citation></citation-alternatives></ref><ref id="cit23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">Proc. of Congress on Evolutionary Computation. – Portland, USA, 2004. – P. 325–331.</mixed-citation><mixed-citation xml:lang="en">Proc. of Congress on Evolutionary Computation. – Portland, USA, 2004. – P. 325–331.</mixed-citation></citation-alternatives></ref><ref id="cit24"><label>24</label><citation-alternatives><mixed-citation xml:lang="ru">Gao, H. A Simple Quantum-inspired Particle swarm Optimization and its Application /</mixed-citation><mixed-citation xml:lang="en">Gao, H. A Simple Quantum-inspired Particle swarm Optimization and its Application /</mixed-citation></citation-alternatives></ref><ref id="cit25"><label>25</label><citation-alternatives><mixed-citation xml:lang="ru">H. Gao // Information Technology Journal. – 2011. – № 10. – P. 2315–2321.</mixed-citation><mixed-citation xml:lang="en">H. Gao // Information Technology Journal. – 2011. – № 10. – P. 2315–2321.</mixed-citation></citation-alternatives></ref><ref id="cit26"><label>26</label><citation-alternatives><mixed-citation xml:lang="ru">Maolong, X. An improved quantum-behaved particle swarm optimization algorithm with</mixed-citation><mixed-citation xml:lang="en">Maolong, X. An improved quantum-behaved particle swarm optimization algorithm with</mixed-citation></citation-alternatives></ref><ref id="cit27"><label>27</label><citation-alternatives><mixed-citation xml:lang="ru">weighted mean best position / X. Maolong // Applied Mathematics and Computation. – 2008. – № 205. – P. 751–759.</mixed-citation><mixed-citation xml:lang="en">weighted mean best position / X. Maolong // Applied Mathematics and Computation. – 2008. – № 205. – P. 751–759.</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
