Publicação
Classification of control/pathologic subjects with support vector machines
| Resumo: | The diagnosis of pathologies using vocal acoustic analysis has the advantage of been noninvasive and inexpensive technique compared to traditional technique in use. In this work the SVM were experimentally tested to diagnose dysphonia, chronic laryngitis or vocal cords paralysis. Three groups of parameters were experimented. Jitter, shimmer and HNR, MFCCs extracted from a sustained vowels and MFCC extracted from a short sentence. The first group showed their importance in this type of diagnose and the second group showed low discriminative power. The SVM functions and methods were also experimented using the dataset with and without gender separation. The best accuracy was 71% using the jitter, shimmer and HNR parameters without gender separation. |
|---|---|
| Autores principais: | Teixeira, Felipe |
| Outros Autores: | Fernandes, Joana Filipa Teixeira; Guedes, Victor; Candido Junior, Arnaldo; Teixeira, João Paulo |
| Assunto: | Vocal acoustic analysis MFCCs Jitter Shimmer HNR SVM functions SVM methods |
| Ano: | 2018 |
| País: | Portugal |
| Tipo de documento: | comunicação em conferência |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Instituto Politécnico de Bragança |
| Idioma: | inglês |
| Origem: | Biblioteca Digital do IPB |
| _version_ | 1863851297438957568 |
|---|---|
| author | Teixeira, Felipe |
| author2 | Fernandes, Joana Filipa Teixeira Guedes, Victor Candido Junior, Arnaldo Teixeira, João Paulo |
| author2_role | author author author author |
| author_facet | Teixeira, Felipe Fernandes, Joana Filipa Teixeira Guedes, Victor Candido Junior, Arnaldo Teixeira, João Paulo |
| author_role | author |
| contributor_name_str_mv | Biblioteca Digital do IPB |
| country_str | PT |
| creators_json_str | [{\"Person.name\":\"Teixeira, Felipe\"},{\"Person.name\":\"Fernandes, Joana Filipa Teixeira\",\"Person.identifier.orcid\":\"0000-0002-0618-4627\"},{\"Person.name\":\"Guedes, Victor\"},{\"Person.name\":\"Candido Junior, Arnaldo\"},{\"Person.name\":\"Teixeira, João Paulo\",\"Person.identifier.orcid\":\"0000-0002-6679-5702\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Biblioteca Digital do IPB |
| datacite.creators.creator.creatorName.fl_str_mv | Teixeira, Felipe Fernandes, Joana Filipa Teixeira Guedes, Victor Candido Junior, Arnaldo Teixeira, João Paulo |
| datacite.date.Accepted.fl_str_mv | 2018-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2020-04-23T09:00:25Z |
| datacite.date.embargoed.fl_str_mv | 2020-04-23T09:00:25Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Vocal acoustic analysis MFCCs Jitter Shimmer HNR SVM functions SVM methods |
| datacite.titles.title.fl_str_mv | Classification of control/pathologic subjects with support vector machines |
| dc.contributor.none.fl_str_mv | Biblioteca Digital do IPB |
| dc.creator.none.fl_str_mv | Teixeira, Felipe Fernandes, Joana Filipa Teixeira Guedes, Victor Candido Junior, Arnaldo Teixeira, João Paulo |
| dc.date.Accepted.fl_str_mv | 2018-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2020-04-23T09:00:25Z |
| dc.date.embargoed.fl_str_mv | 2020-04-23T09:00:25Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10198/21791 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | Elsevier |
| dc.rights.cclincense.fl_str_mv | http://creativecommons.org/licenses/by/4.0/ |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Vocal acoustic analysis MFCCs Jitter Shimmer HNR SVM functions SVM methods |
| dc.title.fl_str_mv | Classification of control/pathologic subjects with support vector machines |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_5794 |
| description | The diagnosis of pathologies using vocal acoustic analysis has the advantage of been noninvasive and inexpensive technique compared to traditional technique in use. In this work the SVM were experimentally tested to diagnose dysphonia, chronic laryngitis or vocal cords paralysis. Three groups of parameters were experimented. Jitter, shimmer and HNR, MFCCs extracted from a sustained vowels and MFCC extracted from a short sentence. The first group showed their importance in this type of diagnose and the second group showed low discriminative power. The SVM functions and methods were also experimented using the dataset with and without gender separation. The best accuracy was 71% using the jitter, shimmer and HNR parameters without gender separation. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | conferencePaper |
| fulltext.url.fl_str_mv | https://bibliotecadigital.ipb.pt/bitstreams/a30ceb6a-8628-4448-b86a-7c59cf70f51b/download |
| id | ipb_bbe46b869f0183986d35da16979f66b7 |
| identifier.url.fl_str_mv | http://hdl.handle.net/10198/21791 |
| instacron_str | ipb |
| institution | Instituto Politécnico de Bragança |
| instname_str | Instituto Politécnico de Bragança |
| language | eng |
| network_acronym_str | ipb |
| network_name_str | Biblioteca Digital do IPB |
| oai_identifier_str | oai:bibliotecadigital.ipb.pt:10198/21791 |
| organization_str_mv | urn:organizationAcronym:ipb |
| person_str_mv | Teixeira, Felipe Teixeira, Felipe https://www.ciencia-id.pt/0E17-62FB-AA17 0E17-62FB-AA17 Fernandes, Joana Filipa Teixeira Fernandes, Joana Filipa Teixeira https://www.ciencia-id.pt/AE12-440A-299D AE12-440A-299D http://orcid.org/0000-0002-0618-4627 0000-0002-0618-4627 Guedes, Victor Candido Junior, Arnaldo Teixeira, João Paulo Teixeira, João Paulo https://www.ciencia-id.pt/4F15-B322-59B4 4F15-B322-59B4 http://orcid.org/0000-0002-6679-5702 0000-0002-6679-5702 |
| publishDate | 2018 |
| publisher.none.fl_str_mv | Elsevier |
| reponame_str | Biblioteca Digital do IPB |
| repository_id_str | urn:repositoryAcronym:ipb |
| service_str_mv | urn:repositoryAcronym:ipb |
| spelling | engElsevierpt_PTThe diagnosis of pathologies using vocal acoustic analysis has the advantage of been noninvasive and inexpensive technique compared to traditional technique in use. In this work the SVM were experimentally tested to diagnose dysphonia, chronic laryngitis or vocal cords paralysis. Three groups of parameters were experimented. Jitter, shimmer and HNR, MFCCs extracted from a sustained vowels and MFCC extracted from a short sentence. The first group showed their importance in this type of diagnose and the second group showed low discriminative power. The SVM functions and methods were also experimented using the dataset with and without gender separation. The best accuracy was 71% using the jitter, shimmer and HNR parameters without gender separation.application/pdfpt_PTClassification of control/pathologic subjects with support vector machinesPersonalTeixeira, FelipeDSpacehttp://dspace.org/items/764c5209-b9ab-479e-b5be-59fbe07c784bDSpacehttp://dspace.org/items/764c5209-b9ab-479e-b5be-59fbe07c784bTeixeiraFelipeCiência IDhttps://www.ciencia-id.pt0E17-62FB-AA17PersonalFernandes, Joana Filipa TeixeiraDSpacehttp://dspace.org/items/a6f7a119-fbc9-439f-8dd9-0bbc9ec82fadDSpacehttp://dspace.org/items/a6f7a119-fbc9-439f-8dd9-0bbc9ec82fadFernandesJoana Filipa TeixeiraCiência IDhttps://www.ciencia-id.ptAE12-440A-299DORCIDhttp://orcid.org0000-0002-0618-4627Guedes, VictorCandido Junior, ArnaldoPersonalTeixeira, João PauloDSpacehttp://dspace.org/items/33f4af65-7ddf-46f0-8b44-a7470a8ba2bfDSpacehttp://dspace.org/items/33f4af65-7ddf-46f0-8b44-a7470a8ba2bfTeixeiraJoão PauloCiência IDhttps://www.ciencia-id.pt4F15-B322-59B4ORCIDhttp://orcid.org0000-0002-6679-5702Researcher IDhttps://www.researcherid.comN-6576-2013Scopus Author IDhttps://www.scopus.com57069567500HostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.ptDOIIsPartOf10.1016/j.procs.2018.10.0392020-04-23T09:00:25Z20182018-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/21791http://purl.org/coar/access_right/c_abf2open accessVocal acoustic analysisMFCCsJitterShimmerHNRSVM functionsSVM methods496242 bytesother research producthttp://purl.org/coar/resource_type/c_5794conference paper2018http://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/a30ceb6a-8628-4448-b86a-7c59cf70f51b/downloadInternational Conference on ENTERprise Information Systems / International Conference on Project MANagement138272279Lisbon; Portugal |
| spellingShingle | Classification of control/pathologic subjects with support vector machines Teixeira, Felipe Vocal acoustic analysis MFCCs Jitter Shimmer HNR SVM functions SVM methods |
| subject.fl_str_mv | Vocal acoustic analysis MFCCs Jitter Shimmer HNR SVM functions SVM methods |
| title | Classification of control/pathologic subjects with support vector machines |
| title_full | Classification of control/pathologic subjects with support vector machines |
| title_fullStr | Classification of control/pathologic subjects with support vector machines |
| title_full_unstemmed | Classification of control/pathologic subjects with support vector machines |
| title_short | Classification of control/pathologic subjects with support vector machines |
| title_sort | Classification of control/pathologic subjects with support vector machines |
| topic | Vocal acoustic analysis MFCCs Jitter Shimmer HNR SVM functions SVM methods |
| topic_facet | Vocal acoustic analysis MFCCs Jitter Shimmer HNR SVM functions SVM methods |
| url | http://hdl.handle.net/10198/21791 |
| visible | 1 |