{"id":"https://openalex.org/W3114793518","doi":"https://doi.org/10.1109/access.2020.3046873","title":"Multicondition Training for Noise-Robust Detection of Benign Vocal Fold Lesions From Recorded Speech","display_name":"Multicondition Training for Noise-Robust Detection of Benign Vocal Fold Lesions From Recorded Speech","publication_year":2020,"publication_date":"2020-12-23","ids":{"openalex":"https://openalex.org/W3114793518","doi":"https://doi.org/10.1109/access.2020.3046873","mag":"3114793518"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3046873","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3046873","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09305285.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09305285.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040766936","display_name":"Mario Madruga","orcid":"https://orcid.org/0000-0001-5817-6656"},"institutions":[{"id":"https://openalex.org/I80606768","display_name":"Universidad de Extremadura","ror":"https://ror.org/0174shg90","country_code":"ES","type":"education","lineage":["https://openalex.org/I80606768"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Mario Madruga","raw_affiliation_strings":["Departamento de Matem\u00e1ticas, Universidad de Extremadura, C\u00edceres, Spain"],"raw_orcid":"https://orcid.org/0000-0001-5817-6656","affiliations":[{"raw_affiliation_string":"Departamento de Matem\u00e1ticas, Universidad de Extremadura, C\u00edceres, Spain","institution_ids":["https://openalex.org/I80606768"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001751785","display_name":"Y. Campos\u2010Roca","orcid":"https://orcid.org/0000-0003-1161-000X"},"institutions":[{"id":"https://openalex.org/I80606768","display_name":"Universidad de Extremadura","ror":"https://ror.org/0174shg90","country_code":"ES","type":"education","lineage":["https://openalex.org/I80606768"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Yolanda Campos-Roca","raw_affiliation_strings":["Departamento de Tecnolog\u00eda de los Computadores y las Comunicaciones, Universidad de Extremadura, C\u00edceres, Spain"],"raw_orcid":"https://orcid.org/0000-0003-1161-000X","affiliations":[{"raw_affiliation_string":"Departamento de Tecnolog\u00eda de los Computadores y las Comunicaciones, Universidad de Extremadura, C\u00edceres, Spain","institution_ids":["https://openalex.org/I80606768"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070117970","display_name":"Carlos J. P\u00e9rez","orcid":"https://orcid.org/0000-0001-6385-9080"},"institutions":[{"id":"https://openalex.org/I80606768","display_name":"Universidad de Extremadura","ror":"https://ror.org/0174shg90","country_code":"ES","type":"education","lineage":["https://openalex.org/I80606768"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Carlos J. Perez","raw_affiliation_strings":["Departamento de Matem\u00e1ticas, Universidad de Extremadura, C\u00edceres, Spain"],"raw_orcid":"https://orcid.org/0000-0001-6385-9080","affiliations":[{"raw_affiliation_string":"Departamento de Matem\u00e1ticas, Universidad de Extremadura, C\u00edceres, Spain","institution_ids":["https://openalex.org/I80606768"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I80606768"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.9648,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.75880119,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"9","issue":null,"first_page":"1707","last_page":"1722"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10863","display_name":"Voice and Speech Disorders","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10863","display_name":"Voice and Speech Disorders","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"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/T11309","display_name":"Music and Audio Processing","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/computer-science","display_name":"Computer science","score":0.7438178658485413},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6185896396636963},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5070428848266602},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.48514828085899353},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.46971195936203003},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.44119542837142944},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4062027931213379},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4034442901611328}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7438178658485413},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6185896396636963},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5070428848266602},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.48514828085899353},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.46971195936203003},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.44119542837142944},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4062027931213379},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4034442901611328},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2020.3046873","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3046873","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09305285.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1813c67469974a9cb42236c3a3e4eec1","is_oa":true,"landing_page_url":"https://doaj.org/article/1813c67469974a9cb42236c3a3e4eec1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 1707-1722 (2021)","raw_type":"article"},{"id":"pmh:oai:zenodo.org:10568879","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ACCESS.2020.3046873","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3046873","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3046873","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09305285.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1181282830","display_name":null,"funder_award_id":"GR18055","funder_id":"https://openalex.org/F4320328352","funder_display_name":"Junta de Extremadura"},{"id":"https://openalex.org/G2257799688","display_name":null,"funder_award_id":"GR18108","funder_id":"https://openalex.org/F4320328352","funder_display_name":"Junta de Extremadura"},{"id":"https://openalex.org/G3295449551","display_name":null,"funder_award_id":"FPU18/03274","funder_id":"https://openalex.org/F4320328352","funder_display_name":"Junta de Extremadura"},{"id":"https://openalex.org/G3833570470","display_name":null,"funder_award_id":"IB16054","funder_id":"https://openalex.org/F4320328352","funder_display_name":"Junta de Extremadura"},{"id":"https://openalex.org/G509230152","display_name":null,"funder_award_id":"MTM2017-86875-C3-2-R","funder_id":"https://openalex.org/F4320315062","funder_display_name":"Ministerio de Ciencia, Innovaci\u00f3n y Universidades"},{"id":"https://openalex.org/G8208676193","display_name":null,"funder_award_id":"FPU18/03274","funder_id":"https://openalex.org/F4320315062","funder_display_name":"Ministerio de Ciencia, Innovaci\u00f3n y Universidades"}],"funders":[{"id":"https://openalex.org/F4320315062","display_name":"Ministerio de Ciencia, Innovaci\u00f3n y Universidades","ror":null},{"id":"https://openalex.org/F4320328352","display_name":"Junta de Extremadura","ror":"https://ror.org/01df4mv68"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3114793518.pdf","grobid_xml":"https://content.openalex.org/works/W3114793518.grobid-xml"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W1259078","https://openalex.org/W622754059","https://openalex.org/W1446439765","https://openalex.org/W1924962846","https://openalex.org/W1972191071","https://openalex.org/W1974993215","https://openalex.org/W1985198345","https://openalex.org/W1995875735","https://openalex.org/W2010817634","https://openalex.org/W2013374607","https://openalex.org/W2022939667","https://openalex.org/W2033068515","https://openalex.org/W2046678753","https://openalex.org/W2047392794","https://openalex.org/W2048826248","https://openalex.org/W2057079524","https://openalex.org/W2074570265","https://openalex.org/W2077770566","https://openalex.org/W2089759944","https://openalex.org/W2092514808","https://openalex.org/W2093190178","https://openalex.org/W2093362058","https://openalex.org/W2093862051","https://openalex.org/W2103525487","https://openalex.org/W2107831318","https://openalex.org/W2117095944","https://openalex.org/W2118049823","https://openalex.org/W2129379984","https://openalex.org/W2132025473","https://openalex.org/W2138041026","https://openalex.org/W2139252078","https://openalex.org/W2151484683","https://openalex.org/W2157881370","https://openalex.org/W2162109146","https://openalex.org/W2163443023","https://openalex.org/W2192474164","https://openalex.org/W2219249508","https://openalex.org/W2318725123","https://openalex.org/W2399892072","https://openalex.org/W2406395231","https://openalex.org/W2605352022","https://openalex.org/W2609527102","https://openalex.org/W2766329439","https://openalex.org/W2883781843","https://openalex.org/W2887795087","https://openalex.org/W2896464508","https://openalex.org/W2914680699","https://openalex.org/W2920847976","https://openalex.org/W2959813266","https://openalex.org/W2969792129","https://openalex.org/W2981143350","https://openalex.org/W2982000146","https://openalex.org/W3014647115","https://openalex.org/W3105728206","https://openalex.org/W3124661333","https://openalex.org/W3125384922","https://openalex.org/W4299429830","https://openalex.org/W6676245417","https://openalex.org/W6688816777","https://openalex.org/W6712952087","https://openalex.org/W6713954808"],"related_works":["https://openalex.org/W4390421286","https://openalex.org/W4280563792","https://openalex.org/W2140186469","https://openalex.org/W4389724018","https://openalex.org/W4318719684","https://openalex.org/W4318559728","https://openalex.org/W2775233965","https://openalex.org/W4360995913","https://openalex.org/W3034789145","https://openalex.org/W4367628250"],"abstract_inverted_index":{"This":[0,25],"study":[1],"evaluates":[2],"the":[3,32,68,83,104,130,151,178,218,225],"effects":[4],"of":[5,22,70,147,180,211],"Multicondition":[6],"Training":[7],"(MCT)":[8],"on":[9],"computer":[10],"aided":[11],"diagnosis":[12,206],"systems":[13],"for":[14,94,208,228],"voice":[15],"quality":[16],"assessment":[17],"associated":[18],"to":[19,31,37,88,150,171,197,203],"exudative":[20,209],"lesions":[21,210],"Reinke's":[23,100,212],"space.":[24],"technique":[26],"adds":[27],"various":[28],"noise":[29,118,131,146],"conditions":[30],"speech":[33],"recordings":[34],"in":[35,59],"order":[36],"recreate":[38],"realistic":[39,144],"acoustic":[40,62,145],"environments.":[41],"Four":[42],"different":[43,61,148],"databases":[44],"(Massachussets":[45],"Eye":[46],"and":[47,52,80,99,120,164,183],"Ear":[48],"Infirmary,":[49],"UEX-Voice,":[50],"Saarbr\u00fccken,":[51],"Hospital":[53],"Universitario":[54],"Pr\u00edncipe":[55],"de":[56],"Asturias)":[57],"recorded":[58],"very":[60],"environments":[63],"are":[64,136,140,159,165],"used.":[65],"We":[66],"compare":[67],"outcomes":[69],"random":[71],"forest":[72],"classifier":[73],"models":[74],"comprising":[75],"feature":[76],"selection,":[77],"hyperparameter":[78],"tuning,":[79],"cross-validation":[81],"attending":[82],"specific":[84],"MCT":[85,134,194],"schema":[86],"used":[87],"separate":[89],"healthy":[90],"from":[91,103,224],"pathological":[92],"subjects":[93],"three":[95],"diseases":[96],"(nodules,":[97],"polyps,":[98],"edema).":[101],"Apart":[102],"clean":[105,229],"case":[106],"baseline,":[107],"an":[108],"asymmetric":[109,193],"(one":[110,123],"subject":[111,124],"recording":[112,125],"is":[113,126,195,221],"affected":[114,127,160],"only":[115],"by":[116,128,142,161],"one":[117],"recording)":[119],"two":[121],"symmetric":[122,157,181],"all":[129],"recordings)":[132],"noise-based":[133],"scenarios":[135,139],"considered.":[137],"These":[138],"created":[141],"adding":[143],"types":[149],"sustained":[152],"/a/":[153],"vowel":[154],"recordings.":[155],"The":[156],"approaches":[158],"methodological":[162],"concerns":[163],"tested":[166],"with":[167,217],"a":[168,188,199,205],"comparative":[169],"purpose,":[170],"emphasize":[172],"these":[173,185],"issues.":[174],"Experimental":[175],"results":[176],"highlight":[177],"drawbacks":[179],"MCTs":[182],"exclude":[184],"techniques":[186],"as":[187,214],"viable":[189],"option.":[190],"In":[191],"contrast,":[192],"proven":[196],"be":[198],"suitable":[200],"noise-robust":[201],"approach":[202],"build":[204],"system":[207],"space,":[213],"performance":[215,226],"obtained":[216,227],"resulting":[219],"classifiers":[220],"not":[222],"far":[223],"training.":[230]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
