{"id":"https://openalex.org/W3114255369","doi":"https://doi.org/10.23919/eusipco47968.2020.9287333","title":"Combining acoustic features and medical data in deep learning networks for voice pathology classification","display_name":"Combining acoustic features and medical data in deep learning networks for voice pathology classification","publication_year":2020,"publication_date":"2020-12-18","ids":{"openalex":"https://openalex.org/W3114255369","doi":"https://doi.org/10.23919/eusipco47968.2020.9287333","mag":"3114255369"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco47968.2020.9287333","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco47968.2020.9287333","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 28th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"article","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/A5031620310","display_name":"Ioanna Miliaresi","orcid":"https://orcid.org/0000-0002-4461-9206"},"institutions":[{"id":"https://openalex.org/I154757721","display_name":"University of Piraeus","ror":"https://ror.org/02qs84g94","country_code":"GR","type":"education","lineage":["https://openalex.org/I154757721"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Ioanna Miliaresi","raw_affiliation_strings":["University of Piraeus, Piraeus, Greece"],"affiliations":[{"raw_affiliation_string":"University of Piraeus, Piraeus, Greece","institution_ids":["https://openalex.org/I154757721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040705131","display_name":"Kyriakos Poutos","orcid":null},"institutions":[{"id":"https://openalex.org/I154757721","display_name":"University of Piraeus","ror":"https://ror.org/02qs84g94","country_code":"GR","type":"education","lineage":["https://openalex.org/I154757721"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Kyriakos Poutos","raw_affiliation_strings":["University of Piraeus, Piraeus, Greece"],"affiliations":[{"raw_affiliation_string":"University of Piraeus, Piraeus, Greece","institution_ids":["https://openalex.org/I154757721"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078107720","display_name":"Aggelos Pikrakis","orcid":"https://orcid.org/0000-0001-7355-327X"},"institutions":[{"id":"https://openalex.org/I154757721","display_name":"University of Piraeus","ror":"https://ror.org/02qs84g94","country_code":"GR","type":"education","lineage":["https://openalex.org/I154757721"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Aggelos Pikrakis","raw_affiliation_strings":["University of Piraeus, Piraeus, Greece"],"affiliations":[{"raw_affiliation_string":"University of Piraeus, Piraeus, Greece","institution_ids":["https://openalex.org/I154757721"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5031620310"],"corresponding_institution_ids":["https://openalex.org/I154757721"],"apc_list":null,"apc_paid":null,"fwci":1.5591,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.83542776,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1190","last_page":"1194"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10863","display_name":"Voice and Speech Disorders","score":0.9998000264167786,"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":0.9998000264167786,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9943000078201294,"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"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9674999713897705,"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":0.7413862943649292},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.6095920205116272},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5912944078445435},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5792950987815857},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5086473226547241},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4218471944332123},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4117697477340698},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.331622451543808},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2685650885105133}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7413862943649292},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.6095920205116272},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5912944078445435},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5792950987815857},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5086473226547241},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4218471944332123},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4117697477340698},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.331622451543808},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2685650885105133}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/eusipco47968.2020.9287333","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco47968.2020.9287333","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 28th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1624853736","https://openalex.org/W2077708378","https://openalex.org/W2093862051","https://openalex.org/W2098874108","https://openalex.org/W2107831318","https://openalex.org/W2108741768","https://openalex.org/W2123608681","https://openalex.org/W2124136621","https://openalex.org/W2139252078","https://openalex.org/W2160641603","https://openalex.org/W2165806037","https://openalex.org/W2399892072","https://openalex.org/W2791062765","https://openalex.org/W2890144664","https://openalex.org/W2903623207","https://openalex.org/W2911380243","https://openalex.org/W2911659825","https://openalex.org/W2912521939","https://openalex.org/W2913018126","https://openalex.org/W2913363344","https://openalex.org/W2914428489","https://openalex.org/W2914784366","https://openalex.org/W2949551606","https://openalex.org/W2962750725","https://openalex.org/W6676245417"],"related_works":["https://openalex.org/W3125011624","https://openalex.org/W1508631387","https://openalex.org/W2370917603","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"In":[0],"this":[1,23],"paper,":[2],"we":[3],"present":[4],"a":[5,102],"study":[6],"on":[7],"the":[8,14,35,52,74,79,90,97,107],"efficiency":[9],"of":[10,17,37,40],"neural":[11,30],"networks":[12,31],"for":[13,34],"hard":[15],"problem":[16],"automatically":[18],"classifying":[19],"voice":[20,41],"disorders.":[21,42],"To":[22],"end,":[24],"convolutional":[25],"architectures":[26],"combined":[27],"with":[28,101],"feed-forward":[29],"are":[32],"used":[33],"classification":[36,87],"four":[38,59],"types":[39],"Speech":[43],"signals":[44],"and":[45,67,73,96],"data":[46],"from":[47,106],"medical":[48],"records,":[49],"collected":[50],"by":[51],"Far":[53],"Eastern":[54],"Memorial":[55],"Hospital":[56],"(FEMH),":[57],"involving":[58],"speech":[60],"pathologies,":[61],"(functional":[62],"dysphonia,":[63],"phonotrauma,":[64],"laryngeal":[65],"neoplasm":[66],"unilateral":[68],"vocal":[69],"paralysis),":[70],"were":[71],"analyzed":[72],"proposed":[75],"method":[76,98],"participated":[77],"at":[78,89],"FEMH":[80],"Voice":[81],"Data":[82],"challenge":[83],"2019.":[84],"The":[85],"respective":[86],"accuracy":[88],"challenge's":[91],"testing":[92],"dataset":[93],"was":[94],"57%":[95],"ranked":[99],"fifth":[100],"small":[103],"performance":[104],"margin":[105],"leading":[108],"method.":[109]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}