{"id":"https://openalex.org/W3043957134","doi":"https://doi.org/10.1109/iwssip48289.2020.9145258","title":"Combined Sustained Vowels Improve the Performance of the Haar Wavelet for Pathological Voice Characterization","display_name":"Combined Sustained Vowels Improve the Performance of the Haar Wavelet for Pathological Voice Characterization","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3043957134","doi":"https://doi.org/10.1109/iwssip48289.2020.9145258","mag":"3043957134"},"language":"en","primary_location":{"id":"doi:10.1109/iwssip48289.2020.9145258","doi":"https://doi.org/10.1109/iwssip48289.2020.9145258","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwssip48289.2020.9145258","pdf_url":null,"source":{"id":"https://openalex.org/S4306419870","display_name":"International Conference on Systems, Signals and Image Processing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Systems, Signals and Image Processing (IWSSIP)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109330888","display_name":"Brigada F. C. Oliveira","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I243754102","display_name":"Universidade Federal do Cear\u00e1","ror":"https://ror.org/03srtnf24","country_code":"BR","type":"education","lineage":["https://openalex.org/I243754102"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Brigada F. C. Oliveira","raw_affiliation_strings":["Universidade Federal do Cear\u00e1, Fortaleza, CE, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal do Cear\u00e1, Fortaleza, CE, Brazil","institution_ids":["https://openalex.org/I243754102"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083889609","display_name":"Deborah M. V. Magalh\u00e3es","orcid":"https://orcid.org/0000-0002-5445-5073","observed_orcids":["https://orcid.org/0000-0002-5445-5073"]},"institutions":[{"id":"https://openalex.org/I3121799822","display_name":"Universidade Federal do Piau\u00ed","ror":"https://ror.org/00kwnx126","country_code":"BR","type":"education","lineage":["https://openalex.org/I3121799822"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Deborah M. V. Magalhaes","raw_affiliation_strings":["Sistemas de Informa\u00e7\u00e3o, Universidade Federal do Piau\u00ed, PI, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sistemas de Informa\u00e7\u00e3o, Universidade Federal do Piau\u00ed, PI, Brazil","institution_ids":["https://openalex.org/I3121799822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089720443","display_name":"Daniel S. Ferreira","orcid":"https://orcid.org/0000-0003-1397-4528","observed_orcids":["https://orcid.org/0000-0003-1397-4528"]},"institutions":[{"id":"https://openalex.org/I3018325552","display_name":"Instituto Federal de Educa\u00e7\u00e3o, Ci\u00eancia e Tecnologia do Cear\u00e1","ror":"https://ror.org/02225fd27","country_code":"BR","type":"government","lineage":["https://openalex.org/I3018325552"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Daniel S. Ferreira","raw_affiliation_strings":["Ci\u00eancias da Computa\u00e7\u00e3o, Instituto Federal de Educa\u00e7\u00e3o, Ci\u00eancia e Tecnologia do Cear\u00e1, Maracana\u00fa, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ci\u00eancias da Computa\u00e7\u00e3o, Instituto Federal de Educa\u00e7\u00e3o, Ci\u00eancia e Tecnologia do Cear\u00e1, Maracana\u00fa, Brazil","institution_ids":["https://openalex.org/I3018325552"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018707025","display_name":"F\u00e1tima N. S. de Medeiros","orcid":"https://orcid.org/0000-0003-3075-8771","observed_orcids":["https://orcid.org/0000-0003-3075-8771"]},"institutions":[{"id":"https://openalex.org/I243754102","display_name":"Universidade Federal do Cear\u00e1","ror":"https://ror.org/03srtnf24","country_code":"BR","type":"education","lineage":["https://openalex.org/I243754102"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Fatima N. S. Medeiros","raw_affiliation_strings":["Universidade Federal do Cear\u00e1, Fortaleza, CE, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal do Cear\u00e1, Fortaleza, CE, Brazil","institution_ids":["https://openalex.org/I243754102"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3968,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.82515337,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":93},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10863","display_name":"Voice and Speech Disorders","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/3616","display_name":"Speech and Hearing"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10863","display_name":"Voice and Speech Disorders","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/3616","display_name":"Speech and Hearing"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sustained-vowels","display_name":"sustained vowels","score":0.9259999990463257},{"id":"https://openalex.org/keywords/haar-wavelet","display_name":"Haar wavelet","score":0.9580000042915344},{"id":"https://openalex.org/keywords/wavelet-decomposition-level","display_name":"wavelet decomposition level","score":0.796999990940094},{"id":"https://openalex.org/keywords/voice-classification","display_name":"voice classification","score":0.8080000281333923},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"feature extraction","score":0.5720000267028809},{"id":"https://openalex.org/keywords/dysphonia","display_name":"dysphonia","score":0.5249999761581421},{"id":"https://openalex.org/keywords/vowel-combinations","display_name":"vowel combinations","score":0.5270000100135803}],"concepts":[{"id":"https://openalex.org/C2780423554","wikidata":"https://www.wikidata.org/wiki/Q766198","display_name":"Haar wavelet","level":5,"score":0.8002554178237915},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.7473165988922119},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6823182702064514},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6085440516471863},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6035884618759155},{"id":"https://openalex.org/C187029792","wikidata":"https://www.wikidata.org/wiki/Q2179112","display_name":"Haar","level":3,"score":0.5886933207511902},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5806869268417358},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.558078408241272},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5370612740516663},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5042425394058228},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.492468923330307},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.43752777576446533},{"id":"https://openalex.org/C2780841128","wikidata":"https://www.wikidata.org/wiki/Q5073781","display_name":"Characterization (materials science)","level":2,"score":0.4191133975982666},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.41411006450653076},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4103325605392456},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.30750828981399536},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08429169654846191},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwssip48289.2020.9145258","doi":"https://doi.org/10.1109/iwssip48289.2020.9145258","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwssip48289.2020.9145258","pdf_url":null,"source":{"id":"https://openalex.org/S4306419870","display_name":"International Conference on Systems, Signals and Image Processing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Systems, Signals and Image Processing (IWSSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.4000000059604645}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W110017167","https://openalex.org/W1446439765","https://openalex.org/W2008291900","https://openalex.org/W2014377004","https://openalex.org/W2040615655","https://openalex.org/W2041282815","https://openalex.org/W2056337828","https://openalex.org/W2126777570","https://openalex.org/W2294406854","https://openalex.org/W2544038624","https://openalex.org/W2754402200","https://openalex.org/W2759111733","https://openalex.org/W2791062765","https://openalex.org/W2791585456","https://openalex.org/W2799689680","https://openalex.org/W2803843034","https://openalex.org/W2883781843","https://openalex.org/W2896464508","https://openalex.org/W2898186885","https://openalex.org/W2911964244","https://openalex.org/W2915045517","https://openalex.org/W2920847976","https://openalex.org/W2969792129","https://openalex.org/W4299359176"],"related_works":["https://openalex.org/W7027311581","https://openalex.org/W4387218418","https://openalex.org/W4224301448","https://openalex.org/W2363365812","https://openalex.org/W2896755317","https://openalex.org/W2386439066","https://openalex.org/W3116467061","https://openalex.org/W2945533554","https://openalex.org/W2240793260","https://openalex.org/W7202035549"],"abstract_inverted_index":{"This":[0,151],"paper":[1],"investigates":[2],"the":[3,27,53,59,96,101,115,135,170],"feasibility":[4],"of":[5,61,76,84,103,117,125,128,156,169],"combining":[6,32],"sustained":[7,21,73,85],"vowels":[8,22,74,86,118,142],"for":[9,39,162],"computer-based":[10],"pathological":[11,129],"voice":[12,25,41,145],"characterization.":[13],"Although":[14],"recent":[15],"work":[16],"has":[17],"shown":[18],"that":[19,45,69,110,134],"single":[20,77],"enable":[23],"accurate":[24,144],"characterization,":[26],"literature":[28],"lacks":[29],"evidence":[30],"about":[31],"them.":[33],"Here":[34],"we":[35],"propose":[36],"a":[37,47],"pipeline":[38,63],"abnormal":[40],"characterization":[42],"and":[43,89,160,164],"classification":[44,146],"encompasses":[46],"feature":[48],"extraction":[49],"method":[50],"based":[51],"on":[52,82],"Haar":[54,136],"wavelet.":[55],"We":[56,79,131],"also":[57,132],"evaluate":[58],"benefits":[60],"our":[62],"when":[64],"using":[65],"an":[66],"input":[67],"signal":[68,120],"comprises":[70],"three":[71],"different":[72],"instead":[75],"ones.":[78],"conducted":[80],"experiments":[81],"samples":[83],"/a/,":[87],"/i/,":[88],"/u/":[90],"from":[91,114,140],"two":[92],"public":[93],"datasets,":[94,166],"exploring":[95],"wavelet":[97,111],"decomposition":[98,149],"levels":[99],"in":[100],"range":[102],"4":[104],"to":[105],"18.":[106],"Our":[107],"results":[108],"revealed":[109],"coefficients":[112],"extracted":[113,139],"combination":[116],"improved":[119],"description":[121],"and,":[122],"hence,":[123],"identification":[124],"subtle":[126],"features":[127,138],"voices.":[130],"showed":[133],"wavelet-based":[137],"combined":[141],"achieved":[143],"with":[147],"fewer":[148],"levels.":[150],"approach":[152],"enabled":[153],"accuracy":[154],"improvements":[155],"at":[157],"least":[158],"15.61":[159],"2.61%":[161],"SVD":[163],"AVFAD":[165],"respectively,":[167],"regardless":[168],"biological":[171],"gender.":[172]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2020-07-29T00:00:00"}