Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/43977
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dc.contributor.authorMekyska, Jirien_US
dc.contributor.authorJanousova, Evaen_US
dc.contributor.authorGomez-Vilda, Pedroen_US
dc.contributor.authorSmekal, Zdeneken_US
dc.contributor.authorRektorova, Irenaen_US
dc.contributor.authorEliasova, Ilonaen_US
dc.contributor.authorKostalova, Milenaen_US
dc.contributor.authorMrackova, Martinaen_US
dc.contributor.authorAlonso-Hernandez, Jesus B.en_US
dc.contributor.authorFaundez-Zanuy, Marcosen_US
dc.contributor.authorLópez-de-Ipiña, Karmeleen_US
dc.contributor.otherLopez-de-Ipina, Karmele-
dc.contributor.otherMekyska, Jiri-
dc.contributor.otherAlonso-Hernandez, Jesus B.-
dc.contributor.otherKoritakova, Eva-
dc.contributor.otherFaundez-Zanuy, Marcos-
dc.date.accessioned2018-11-21T19:18:15Z-
dc.date.available2018-11-21T19:18:15Z-
dc.date.issued2015en_US
dc.identifier.issn0925-2312en_US
dc.identifier.urihttp://hdl.handle.net/10553/43977-
dc.description.abstractThis paper presents a study of the approaches in the state-of-the-art in the field of pathological speech signal analysis with a special focus on parametrization techniques. It provides a description of 92 speech features where some of them are already widely used in this field of science and some of them have not been tried yet (they come from different areas of speech signal processing like speech recognition or coding). As an original contribution, this work introduces 36 completely new pathological voice measures based on modulation spectra, inferior colliculus coefficients, bicepstrum, sample and approximate entropy and empirical mode decomposition. The significance of these features was tested on 3 (English, Spanish and Czech) pathological voice databases with respect to classification accuracy, sensitivity and specificity. To our best knowledge the introduced approach based on complex feature extraction and robust testing outperformed all works that have been published already in this field. The results (accuracy, sensitivity and specificity equal to ) are discussable in the case of Massachusetts Eye and Ear Infirmary (MEEI) database because of its limitation related to a length of sustained vowels, however in the case of Príncipe de Asturias (PdA) Hospital in Alcalá de Henares of Madrid database we made improvements in classification accuracy () and specificity () when considering a single-classifier approach. Hopefully, large improvements may be achieved in the case of Czech Parkinsonian Speech Database (PARCZ), which are discussed in this work as well. All the features introduced in this work were identified by Mann–Whitney U test as significant () when processing at least one of the mentioned databases. The largest discriminative power from these proposed features has a cepstral peak prominence extracted from the first intrinsic mode function () which means, that among all newly designed features those that quantify especially hoarseness or breathiness are good candidates for pathological speech identification. The paper also mentions some ideas for the future work in the field of pathological speech signal analysis that can be valuable especially under the clinical point of viewen_US
dc.languagespaen_US
dc.publisher0925-2312-
dc.relation.ispartofNeurocomputingen_US
dc.sourceNeurocomputing[ISSN 0925-2312],v. 167, p. 94-111en_US
dc.subject3307 Tecnología electrónicaen_US
dc.subject.otherPathological speech, Disordered voice, Dysarthria, Speech processing, Bicepstrum, Non-linear dynamic featuresen_US
dc.titleRobust and complex approach of pathological speech signal analysisen_US
dc.typeinfo:eu-repo/semantics/Articlees
dc.typeArticlees
dc.identifier.doi10.1016/j.neucom.2015.02.085
dc.identifier.scopus84943162481-
dc.identifier.isi000358808500012-
dcterms.isPartOfNeurocomputing-
dcterms.sourceNeurocomputing[ISSN 0925-2312],v. 167, p. 94-111-
dc.contributor.authorscopusid35746344400-
dc.contributor.authorscopusid26654174800-
dc.contributor.authorscopusid6507800333-
dc.contributor.authorscopusid36855362600-
dc.contributor.authorscopusid6603054591-
dc.contributor.authorscopusid55524322100-
dc.contributor.authorscopusid15044536700-
dc.contributor.authorscopusid24598046000-
dc.contributor.authorscopusid24774957200-
dc.contributor.authorscopusid6701452104-
dc.contributor.authorscopusid56263484400-
dc.description.lastpage111-
dc.description.firstpage94-
dc.relation.volume167-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.identifier.wosWOS:000358808500012-
dc.contributor.daisngid1102140-
dc.contributor.daisngid1096580-
dc.contributor.daisngid706944-
dc.contributor.daisngid30347157
dc.contributor.daisngid355338-
dc.contributor.daisngid157722-
dc.contributor.daisngid2834636-
dc.contributor.daisngid1551952-
dc.contributor.daisngid2427358-
dc.contributor.daisngid418703-
dc.contributor.daisngid259157-
dc.contributor.daisngid1399740-
dc.identifier.investigatorRIDK-4379-2013-
dc.identifier.investigatorRIDK-4001-2015-
dc.identifier.investigatorRIDN-5977-2014-
dc.identifier.investigatorRIDT-3275-2018-
dc.identifier.investigatorRIDF-6503-2012-
dc.contributor.wosstandardWOS:Mekyska, J
dc.contributor.wosstandardWOS:Janousova, E
dc.contributor.wosstandardWOS:Gomez-Vilda, P
dc.contributor.wosstandardWOS:Smekal, Z
dc.contributor.wosstandardWOS:Rektorova, I
dc.contributor.wosstandardWOS:Eliasova, I
dc.contributor.wosstandardWOS:Kostalova, M
dc.contributor.wosstandardWOS:Mrackova, M
dc.contributor.wosstandardWOS:Alonso-Hernandez, JB
dc.contributor.wosstandardWOS:Faundez-Zanuy, M
dc.contributor.wosstandardWOS:Lopez-de-Ipina, K
dc.date.coverdateEnero 2015
dc.identifier.ulpgces
dc.description.sjr1,024
dc.description.jcr2,392
dc.description.sjrqQ1
dc.description.jcrqQ1
dc.description.scieSCIE
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.author.deptGIR IDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.orcid0000-0002-7866-585X-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.fullNameAlonso Hernández, Jesús Bernardino-
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