{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,13]],"date-time":"2025-05-13T21:03:55Z","timestamp":1747170235781},"reference-count":53,"publisher":"IGI Global","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,1]]},"abstract":"<jats:p>An automated algorithm for pitch frequency measurement for diagnostic systems of borderline mental disorders is developed. It is based on decomposition of a speech signal into frequency components using an adaptive method for analyzing of non-stationary signals, improved complete ensemble empirical mode decomposition with adaptive noise (improved CEEMDAN), and isolating the component containing pitch. A block diagram for the developed algorithm and a detailed mathematical description are presented. A research of the algorithm using the formed verified signal base of healthy patients, and male and female patients with psychogenic disorders, aged from 18 to 60, is conducted. The research results are evaluated in comparison with the known algorithms for pitch frequency measurement. In accordance with the results of the study, the developed algorithm for pitch frequency measurement provides an accuracy increase in determination of borderline mental disorders: for the error of the first kind, on the average, it is more accurate by 10.7%, and for the second type error by 4.7%.<\/jats:p>","DOI":"10.4018\/ijertcs.2019010102","type":"journal-article","created":{"date-parts":[[2018,10,23]],"date-time":"2018-10-23T19:06:15Z","timestamp":1540321575000},"page":"22-47","source":"Crossref","is-referenced-by-count":10,"title":["Improved CEEMDAN Based Speech Signal Analysis Algorithm for Mental Disorders Diagnostic System"],"prefix":"10.4018","volume":"10","author":[{"given":"Alan K.","family":"Alimuradov","sequence":"first","affiliation":[{"name":"Penza State University, Penza, Russia"}]},{"given":"Alexander Yu.","family":"Tychkov","sequence":"additional","affiliation":[{"name":"Penza State University, Penza, Russia"}]},{"given":"Andrey V.","family":"Kuzmin","sequence":"additional","affiliation":[{"name":"Penza State University, Penza, Russia"}]},{"given":"Pyotr P.","family":"Churakov","sequence":"additional","affiliation":[{"name":"Penza State University, Penza, Russia"}]},{"given":"Alexey V.","family":"Ageykin","sequence":"additional","affiliation":[{"name":"Penza State University, Penza, Russia"}]},{"given":"Galina V.","family":"Vishnevskaya","sequence":"additional","affiliation":[{"name":"Penza State University, Penza, Russia"}]}],"member":"2432","reference":[{"key":"IJERTCS.2019010102-0","unstructured":"Agrafioti, F. (2011). ECG in Biometric Recognition: Time Dependency and Application Challenges. PhD thesis. University of Toronto."},{"key":"IJERTCS.2019010102-1","doi-asserted-by":"publisher","DOI":"10.23919\/FRUCT.2017.8250161"},{"key":"IJERTCS.2019010102-2","doi-asserted-by":"publisher","DOI":"10.1109\/EnT.2015.9"},{"key":"IJERTCS.2019010102-3","doi-asserted-by":"publisher","DOI":"10.1007\/s11018-017-1135-1"},{"key":"IJERTCS.2019010102-4","doi-asserted-by":"publisher","DOI":"10.1109\/SCM.2017.7970665"},{"key":"IJERTCS.2019010102-5","unstructured":"Alimuradov A. K., Tychkov A. Yu., & Churakov P.P. (2012) Determination of the pitch frequency of a speech signal \/\/ Officially registered computer program, Russian Certificate of State registration No. 2012615470, claimed 26 April, 2012."},{"key":"IJERTCS.2019010102-6","doi-asserted-by":"publisher","DOI":"10.1007\/s11018-015-0826-8"},{"issue":"1","key":"IJERTCS.2019010102-7","first-page":"132","article-title":"Methods of Eye Tracking in Psychology: Educational Program.","volume":"7","author":"V. A.Barabanschikov","year":"2014","journal-title":"Experimental Psychology"},{"key":"IJERTCS.2019010102-8","unstructured":"Bobkov, A. S. (2013). Models and methods for determining the emotional state of a person based on automated processing and analysis of video information [PhD thesis]. Institute for Systems Analysis of Russian Academy of Sciences. Moscow. (In Russian)"},{"key":"IJERTCS.2019010102-9","doi-asserted-by":"publisher","DOI":"10.1121\/1.2951592"},{"key":"IJERTCS.2019010102-10","unstructured":"CEEMDAN. (2014). UNER Official Page. Retrieved February 11, 2018 from http:\/\/www.bioingenieria.edu.ar\/grupos\/ldnlys\/"},{"key":"IJERTCS.2019010102-11","doi-asserted-by":"publisher","DOI":"10.1121\/1.1458024"},{"key":"IJERTCS.2019010102-12","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2014.06.009"},{"key":"IJERTCS.2019010102-13","doi-asserted-by":"publisher","DOI":"10.1044\/jshr.1202.246"},{"key":"IJERTCS.2019010102-14","first-page":"122","article-title":"A Choice for the Optimal Set of Informative Signs for Classification of the Speaker\u2019s Emotional State by Voice.","author":"A. G.Davydov","year":"2011","journal-title":"Proceedings of the International Conference on Computational Linguistics and Intellectual Technologies (Dialogue-2012)"},{"key":"IJERTCS.2019010102-15","unstructured":"Dorry, M. K. (2016). Emotion Identification from Spontaneous Communication. Master thesis. Addis Ababa University College of Natural Sciences, Addis Ababa, Ethiopia."},{"key":"IJERTCS.2019010102-16","first-page":"600","article-title":"Feature Extraction Method for Predicting Depression by Frequency Domain Analysis.","author":"S.Eun-Joo","year":"2015","journal-title":"Proceedings of the International Conference on Civil, Materials and Environmental sciences (CMES 2015)"},{"key":"IJERTCS.2019010102-17","author":"G. K.Fant","year":"1964","journal-title":"Acoustic Theory of Speech Formation"},{"key":"IJERTCS.2019010102-18","doi-asserted-by":"publisher","DOI":"10.1007\/s11571-012-9192-2"},{"key":"IJERTCS.2019010102-19","unstructured":"Fraunhofer. (2015). Fraunhofer-Gesellschaft Official Page. Retrieved February 11, 2018 from https:\/\/www.ipa.fraunhofer.de\/en\/press\/2015-11-23_New-Sensor-Technologies-and-Mobile-Robotics-for-Emotion-sensitive-Assistance-Systems.html"},{"key":"IJERTCS.2019010102-20","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-631403-8.50011-4"},{"issue":"1","key":"IJERTCS.2019010102-21","first-page":"121","article-title":"Method for Estimating Pitch Independently from Power Spectrum Envelope for Speech and Musical Signal.","volume":"9","author":"Y.Haraa","year":"2009","journal-title":"Journal of Temporal Design in Architecture and the Environment"},{"issue":"12","key":"IJERTCS.2019010102-22","first-page":"13","article-title":"Automated Analysis of Connected Speech Reveals Early Biomarkers of Parkinson\u2019s disease in patients with rapid eye movement sleep behaviour disorder.","volume":"7","author":"J.Hlavni\u010dka","year":"2017","journal-title":"Scientific Reports"},{"key":"IJERTCS.2019010102-23","doi-asserted-by":"publisher","DOI":"10.1098\/rspa.1998.0193"},{"key":"IJERTCS.2019010102-24","author":"X.Huang","year":"2001","journal-title":"Spoken Language Processing. Guide to Algorithms and System Development"},{"key":"IJERTCS.2019010102-25","doi-asserted-by":"publisher","DOI":"10.1007\/s00779-011-0463-4"},{"key":"IJERTCS.2019010102-26","unstructured":"Kislova, O. O. (2009). Psychophysiological preconditions for successful recognition of emotional speech expression [PhD thesis]. Institute of Higher Nervous Activity and Neurophysiology of Russian Academy of Sciences. Moscow. (In Russian)"},{"key":"IJERTCS.2019010102-27","doi-asserted-by":"publisher","DOI":"10.1109\/TSA.2003.815516"},{"key":"IJERTCS.2019010102-28","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.50"},{"key":"IJERTCS.2019010102-29","doi-asserted-by":"publisher","DOI":"10.4018\/IJERTCS.2015010101"},{"issue":"3","key":"IJERTCS.2019010102-30","article-title":"Efficient Time Domain Fundamental Frequency Estimation (Pitch Estimation).","volume":"6","author":"S.Kumar","year":"2015","journal-title":"International Journal of Electronics &Communication Technology"},{"key":"IJERTCS.2019010102-31","doi-asserted-by":"publisher","DOI":"10.1109\/THMS.2016.2635441"},{"key":"IJERTCS.2019010102-32","unstructured":"lingWaves. (2014). WEVOSYS Official Page Retrieved. February 11, 2018 from https:\/\/www.wevosys.com\/products\/lingwaves\/lingwaves.html"},{"key":"IJERTCS.2019010102-33","doi-asserted-by":"publisher","DOI":"10.1016\/S0920-9964(01)00186-4"},{"key":"IJERTCS.2019010102-34","unstructured":"Morist, M. U. (2010). Emotional Speech Synthesis for a Radio Dj: Corpus Design and Expression Modeling [Master thesis]. MTG-UPF, Barcelona."},{"key":"IJERTCS.2019010102-35","unstructured":"Nemesysco. (2016). Nemesysco Ltd. Official Page. Retrieved February 11, 2018 from http:\/\/nemesysco.com"},{"key":"IJERTCS.2019010102-36","unstructured":"OeNB Project P16430. (2015). Medical University of Graz Official Page. Retrieved February 11, 2018 from https:\/\/www.medunigraz.at\/en\/idn\/initiatives-projects\/oenb-project-p16430\/"},{"issue":"1","key":"IJERTCS.2019010102-37","first-page":"105","article-title":"Sentence Emotion Analysis and Recognition Based on Emotion Words Using Ren-CECps.","volume":"2","author":"C.Quan","year":"2010","journal-title":"International Journal of Advanced Intelligence"},{"key":"IJERTCS.2019010102-38","doi-asserted-by":"publisher","DOI":"10.1002\/9781118706664"},{"key":"IJERTCS.2019010102-39","doi-asserted-by":"publisher","DOI":"10.1186\/1471-244X-12-32"},{"key":"IJERTCS.2019010102-40","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2008.4541765"},{"key":"IJERTCS.2019010102-41","doi-asserted-by":"crossref","unstructured":"Shuller, B. W. (2017). Bjorn W. Schuller Official Page. Retrieved February 11, 2018 from http:\/\/www.schuller.one","DOI":"10.5771\/9783828870758-11"},{"issue":"December","key":"IJERTCS.2019010102-42","first-page":"8","article-title":"Fast Fundamental Frequency Determination via Adaptive Autocorrelation.","author":"M.Staudacher","year":"2016","journal-title":"EURASIP Journal on Audio, Speech, and Music Processing"},{"key":"IJERTCS.2019010102-43","article-title":"A Robust Algorithm for Pitch Tracking (RAPT)","author":"D.Talkin","year":"1995","journal-title":"Speech Coding & Synthesis"},{"key":"IJERTCS.2019010102-44","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2011.5947265"},{"key":"IJERTCS.2019010102-45","first-page":"69","article-title":"Modern ideas about the specifics and problems of diagnosis of borderline mental disorders.","volume":"5","author":"A. Yu.Tychkov","year":"2017","journal-title":"Mental Health"},{"key":"IJERTCS.2019010102-46","doi-asserted-by":"publisher","DOI":"10.1145\/2661806.2661809"},{"key":"IJERTCS.2019010102-47","doi-asserted-by":"publisher","DOI":"10.1142\/S1793536910000422"},{"key":"IJERTCS.2019010102-48","article-title":"Analysis of Speech Based on Spectral Entropy in Detecting Depressed among Control Subjects.","author":"Th.Yingthawornsuk","year":"2012","journal-title":"Proceedings of the International Conference on Computer and Communication Technologies (ICCCT\u20192012)"},{"key":"IJERTCS.2019010102-49","first-page":"3734","article-title":"Cognitive Impairment Prediction in the Elderly Based on Vocal Biomarkers.","author":"B.Yu","year":"2015","journal-title":"Proceedings of the 16th Annual Conference of the International Speech Communication Association"},{"key":"IJERTCS.2019010102-50","first-page":"347","article-title":"A Task of Creating a System of Automated Recognition of Emotions.","author":"A. V.Zaboleeva-Zotova","year":"2012","journal-title":"Proceedings of the International Conference on Open Semantic Technology for Intelligent Systems (OSTIS-2012"},{"key":"IJERTCS.2019010102-51","doi-asserted-by":"publisher","DOI":"10.4018\/IJERTCS.2017010104"},{"key":"IJERTCS.2019010102-52","doi-asserted-by":"publisher","DOI":"10.1142\/S1793536909000047"}],"container-title":["International Journal of Embedded and Real-Time Communication Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=216999","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,6]],"date-time":"2022-05-06T06:16:07Z","timestamp":1651817767000},"score":1,"resource":{"primary":{"URL":"http:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/IJERTCS.2019010102"}},"subtitle":["Pitch Frequency Detection and Measurement"],"short-title":[],"issued":{"date-parts":[[2019,1]]},"references-count":53,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.4018\/ijertcs.2019010102","relation":{},"ISSN":["1947-3176","1947-3184"],"issn-type":[{"value":"1947-3176","type":"print"},{"value":"1947-3184","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,1]]}}}