{"id":"https://openalex.org/W3098047373","doi":"https://doi.org/10.1186/s13636-020-00182-4","title":"Depression-level assessment from multi-lingual conversational speech data using acoustic and text features","display_name":"Depression-level assessment from multi-lingual conversational speech data using acoustic and text features","publication_year":2020,"publication_date":"2020-11-17","ids":{"openalex":"https://openalex.org/W3098047373","doi":"https://doi.org/10.1186/s13636-020-00182-4","mag":"3098047373"},"language":"en","primary_location":{"id":"doi:10.1186/s13636-020-00182-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13636-020-00182-4","pdf_url":"https://asmp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13636-020-00182-4","source":{"id":"https://openalex.org/S19605986","display_name":"EURASIP Journal on Audio Speech and Music Processing","issn_l":"1687-4714","issn":["1687-4714","1687-4722"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Audio, Speech, and Music Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asmp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13636-020-00182-4","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016845689","display_name":"Cenk Demiro\u011flu","orcid":"https://orcid.org/0000-0002-6160-3169"},"institutions":[{"id":"https://openalex.org/I44925452","display_name":"\u00d6zye\u011fin University","ror":"https://ror.org/01jjhfr75","country_code":"TR","type":"education","lineage":["https://openalex.org/I44925452"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Cenk Demiroglu","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Ozyegin University, Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Ozyegin University, Istanbul, Turkey","institution_ids":["https://openalex.org/I44925452"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023232667","display_name":"Asl\u0131 Be\u015firli","orcid":"https://orcid.org/0000-0001-6550-7353"},"institutions":[{"id":"https://openalex.org/I4210128276","display_name":"Sa\u011fl\u0131k Bilimleri \u00dcniversitesi","ror":"https://ror.org/03k7bde87","country_code":"TR","type":"education","lineage":["https://openalex.org/I4210128276"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Asl\u0131 Be\u015firli","raw_affiliation_strings":["University of Health Sciences Turkey, \u015ei\u015fli Hamidiye Etfal Training and Research Hospital, Department of Psychiatry, Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Health Sciences Turkey, \u015ei\u015fli Hamidiye Etfal Training and Research Hospital, Department of Psychiatry, Istanbul, Turkey","institution_ids":["https://openalex.org/I4210128276"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003465261","display_name":"Yasin \u00d6zkanca","orcid":null},"institutions":[{"id":"https://openalex.org/I44925452","display_name":"\u00d6zye\u011fin University","ror":"https://ror.org/01jjhfr75","country_code":"TR","type":"education","lineage":["https://openalex.org/I44925452"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Yasin Ozkanca","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Ozyegin University, Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Ozyegin University, Istanbul, Turkey","institution_ids":["https://openalex.org/I44925452"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103635461","display_name":"Selime \u00c7elik","orcid":null},"institutions":[{"id":"https://openalex.org/I4210128276","display_name":"Sa\u011fl\u0131k Bilimleri \u00dcniversitesi","ror":"https://ror.org/03k7bde87","country_code":"TR","type":"education","lineage":["https://openalex.org/I4210128276"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Selime \u00c7elik","raw_affiliation_strings":["University of Health Sciences Turkey, \u015ei\u015fli Hamidiye Etfal Training and Research Hospital, Department of Psychiatry, Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Health Sciences Turkey, \u015ei\u015fli Hamidiye Etfal Training and Research Hospital, Department of Psychiatry, Istanbul, Turkey","institution_ids":["https://openalex.org/I4210128276"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5016845689"],"corresponding_institution_ids":["https://openalex.org/I44925452"],"apc_list":{"value":1115,"currency":"GBP","value_usd":1367},"apc_paid":{"value":1115,"currency":"GBP","value_usd":1367},"fwci":1.2511,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.81267354,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"2020","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9940000176429749,"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/T12488","display_name":"Mental Health via Writing","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7224732637405396},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6645051836967468},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.652830183506012},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.6204729676246643},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.608856201171875},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5992733240127563},{"id":"https://openalex.org/keywords/depression","display_name":"Depression (economics)","score":0.5543340444564819},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.4913579523563385},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.487310528755188},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.46869492530822754},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4409438669681549},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3930931091308594},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.37882617115974426},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.36072874069213867},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32192865014076233},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.10259312391281128},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0749829113483429},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07135987281799316}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7224732637405396},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6645051836967468},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.652830183506012},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.6204729676246643},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.608856201171875},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5992733240127563},{"id":"https://openalex.org/C2776867660","wikidata":"https://www.wikidata.org/wiki/Q1814941","display_name":"Depression (economics)","level":2,"score":0.5543340444564819},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.4913579523563385},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.487310528755188},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.46869492530822754},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4409438669681549},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3930931091308594},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37882617115974426},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.36072874069213867},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32192865014076233},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.10259312391281128},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0749829113483429},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07135987281799316},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1186/s13636-020-00182-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13636-020-00182-4","pdf_url":"https://asmp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13636-020-00182-4","source":{"id":"https://openalex.org/S19605986","display_name":"EURASIP Journal on Audio Speech and Music Processing","issn_l":"1687-4714","issn":["1687-4714","1687-4722"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Audio, Speech, and Music Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:75c967b5360c48c187c272646f87a856","is_oa":true,"landing_page_url":"https://doaj.org/article/75c967b5360c48c187c272646f87a856","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":"EURASIP Journal on Audio, Speech, and Music Processing, Vol 2020, Iss 1, Pp 1-17 (2020)","raw_type":"article"},{"id":"pmh:oai:eresearch.ozyegin.edu.tr:10679/7320","is_oa":true,"landing_page_url":"http://hdl.handle.net/10679/7320","pdf_url":null,"source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1186/s13636-020-00182-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13636-020-00182-4","pdf_url":"https://asmp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13636-020-00182-4","source":{"id":"https://openalex.org/S19605986","display_name":"EURASIP Journal on Audio Speech and Music Processing","issn_l":"1687-4714","issn":["1687-4714","1687-4722"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Audio, Speech, and Music Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3098047373.pdf","grobid_xml":"https://content.openalex.org/works/W3098047373.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W46663288","https://openalex.org/W1485582940","https://openalex.org/W1976066595","https://openalex.org/W1986341734","https://openalex.org/W2003502731","https://openalex.org/W2048533792","https://openalex.org/W2053502852","https://openalex.org/W2054341704","https://openalex.org/W2056403322","https://openalex.org/W2059830677","https://openalex.org/W2060779380","https://openalex.org/W2065779698","https://openalex.org/W2071268704","https://openalex.org/W2084242110","https://openalex.org/W2085662862","https://openalex.org/W2095540482","https://openalex.org/W2131987814","https://openalex.org/W2132322340","https://openalex.org/W2148822124","https://openalex.org/W2154506590","https://openalex.org/W2163928333","https://openalex.org/W2239141610","https://openalex.org/W2252180568","https://openalex.org/W2270987589","https://openalex.org/W2346454595","https://openalex.org/W2396139642","https://openalex.org/W2400979883","https://openalex.org/W2406259052","https://openalex.org/W2510254673","https://openalex.org/W2510285366","https://openalex.org/W2518110751","https://openalex.org/W2531271152","https://openalex.org/W2587078977","https://openalex.org/W2746419079","https://openalex.org/W2748295916","https://openalex.org/W2748488613","https://openalex.org/W2748516598","https://openalex.org/W2750249781","https://openalex.org/W2751214333","https://openalex.org/W2754132524","https://openalex.org/W2767030624","https://openalex.org/W2767088461","https://openalex.org/W2889025398","https://openalex.org/W2889056793","https://openalex.org/W2889378348","https://openalex.org/W2897444637","https://openalex.org/W2914765137","https://openalex.org/W2981660166","https://openalex.org/W2981677410","https://openalex.org/W3098431772"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703","https://openalex.org/W41015297"],"abstract_inverted_index":{"Abstract":[0],"Depression":[1],"is":[2,39,107,140,171],"a":[3,12,119,181],"widespread":[4],"mental":[5],"health":[6],"problem":[7],"around":[8],"the":[9,26,80,93,96,100,130,155,161,169,186,194],"world":[10],"with":[11],"significant":[13],"burden":[14],"on":[15],"economies.":[16],"Its":[17],"early":[18],"diagnosis":[19],"and":[20,28,43,47,79,179,188],"treatment":[21],"are":[22,91],"critical":[23,141],"to":[24,35,40,58,108,172,184],"reduce":[25],"costs":[27],"even":[29],"save":[30],"lives.":[31],"One":[32,98],"key":[33],"aspect":[34],"achieve":[36],"that":[37,90],"goal":[38],"use":[41,180],"technology":[42],"monitor":[44],"depression":[45,61,162,177],"remotely":[46],"relatively":[48],"inexpensively":[49],"using":[50,63],"automated":[51],"agents.":[52],"There":[53],"has":[54],"been":[55],"numerous":[56],"efforts":[57],"automatically":[59],"assess":[60],"levels":[62],"audiovisual":[64],"features":[65,123,153,175],"as":[66,68],"well":[67],"text-analysis":[69],"of":[70,83,95,99,122,133,168],"conversational":[71],"speech":[72],"transcriptions.":[73],"However,":[74],"difficulty":[75],"in":[76,104],"data":[77,84,135,138],"collection":[78],"limited":[81],"amounts":[82,132],"available":[85],"for":[86,114,142,176],"research":[87],"present":[88],"challenges":[89],"hampering":[92],"success":[94],"algorithms.":[97],"two":[101],"novel":[102,182],"contributions":[103],"this":[105],"paper":[106,170],"exploit":[109],"databases":[110],"from":[111,127],"multiple":[112],"languages":[113],"acoustic":[115],"feature":[116],"selection.":[117],"Since":[118],"large":[120],"number":[121],"can":[124],"be":[125],"extracted":[126],"speech,":[128],"given":[129],"small":[131],"training":[134],"available,":[136],"effective":[137,149],"selection":[139],"success.":[143],"Our":[144],"proposed":[145],"multi-lingual":[146],"method":[147],"was":[148],"at":[150],"selecting":[151],"better":[152],"than":[154],"baseline":[156],"algorithms,":[157],"which":[158,191],"significantly":[159],"improved":[160],"assessment":[163,178],"accuracy.":[164],"The":[165],"second":[166],"contribution":[167],"extract":[173],"text-based":[174],"algorithm":[183],"fuse":[185],"text-":[187],"speech-based":[189],"classifiers":[190],"further":[192],"boosted":[193],"performance.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}