{"id":"https://openalex.org/W2793141922","doi":"https://doi.org/10.1109/taffc.2018.2803178","title":"Detecting Unipolar and Bipolar Depressive Disorders from Elicited Speech Responses Using Latent Affective Structure Model","display_name":"Detecting Unipolar and Bipolar Depressive Disorders from Elicited Speech Responses Using Latent Affective Structure Model","publication_year":2018,"publication_date":"2018-02-09","ids":{"openalex":"https://openalex.org/W2793141922","doi":"https://doi.org/10.1109/taffc.2018.2803178","mag":"2793141922"},"language":"en","primary_location":{"id":"doi:10.1109/taffc.2018.2803178","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2018.2803178","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Affective Computing","raw_type":"journal-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/A5065699174","display_name":"Kun-Yi Huang","orcid":"https://orcid.org/0000-0002-3629-7091"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Kun-Yi Huang","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103251327","display_name":"Chung\u2010Hsien Wu","orcid":"https://orcid.org/0000-0002-3947-2123"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chung-Hsien Wu","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091093449","display_name":"Ming-Hsiang Su","orcid":"https://orcid.org/0000-0003-0633-774X"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ming-Hsiang Su","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013133542","display_name":"Yu\u2010Ting Kuo","orcid":"https://orcid.org/0000-0002-8704-0739"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Ting Kuo","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5065699174"],"corresponding_institution_ids":["https://openalex.org/I91807558"],"apc_list":null,"apc_paid":null,"fwci":5.8838,"has_fulltext":false,"cited_by_count":62,"citation_normalized_percentile":{"value":0.96241417,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"11","issue":"3","first_page":"393","last_page":"404"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9804999828338623,"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":0.9804999828338623,"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/T10854","display_name":"Bipolar Disorder and Treatment","score":0.972000002861023,"subfield":{"id":"https://openalex.org/subfields/2738","display_name":"Psychiatry and Mental health"},"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9620000123977661,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/mood","display_name":"Mood","score":0.7388612031936646},{"id":"https://openalex.org/keywords/bipolar-disorder","display_name":"Bipolar disorder","score":0.6758347749710083},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.643906831741333},{"id":"https://openalex.org/keywords/mood-disorders","display_name":"Mood disorders","score":0.5421351790428162},{"id":"https://openalex.org/keywords/major-depressive-disorder","display_name":"Major depressive disorder","score":0.4574744701385498},{"id":"https://openalex.org/keywords/affect","display_name":"Affect (linguistics)","score":0.4455994963645935},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.43125927448272705},{"id":"https://openalex.org/keywords/clinical-psychology","display_name":"Clinical psychology","score":0.4019433856010437},{"id":"https://openalex.org/keywords/psychiatry","display_name":"Psychiatry","score":0.2093924582004547},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.16619381308555603},{"id":"https://openalex.org/keywords/anxiety","display_name":"Anxiety","score":0.12936607003211975},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.09107759594917297}],"concepts":[{"id":"https://openalex.org/C2780733359","wikidata":"https://www.wikidata.org/wiki/Q331769","display_name":"Mood","level":2,"score":0.7388612031936646},{"id":"https://openalex.org/C2776174506","wikidata":"https://www.wikidata.org/wiki/Q131755","display_name":"Bipolar disorder","level":3,"score":0.6758347749710083},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.643906831741333},{"id":"https://openalex.org/C2777134132","wikidata":"https://www.wikidata.org/wiki/Q188638","display_name":"Mood disorders","level":3,"score":0.5421351790428162},{"id":"https://openalex.org/C2780051608","wikidata":"https://www.wikidata.org/wiki/Q42844","display_name":"Major depressive disorder","level":3,"score":0.4574744701385498},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.4455994963645935},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.43125927448272705},{"id":"https://openalex.org/C70410870","wikidata":"https://www.wikidata.org/wiki/Q199906","display_name":"Clinical psychology","level":1,"score":0.4019433856010437},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.2093924582004547},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.16619381308555603},{"id":"https://openalex.org/C558461103","wikidata":"https://www.wikidata.org/wiki/Q154430","display_name":"Anxiety","level":2,"score":0.12936607003211975},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.09107759594917297}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taffc.2018.2803178","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2018.2803178","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Affective Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"},{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G3433556917","display_name":null,"funder_award_id":"104-2221-E-006 -051 -MY3","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W61688430","https://openalex.org/W1479771596","https://openalex.org/W1501669607","https://openalex.org/W1969865720","https://openalex.org/W1999689270","https://openalex.org/W2005069458","https://openalex.org/W2018096495","https://openalex.org/W2023937851","https://openalex.org/W2025768430","https://openalex.org/W2027309689","https://openalex.org/W2037960784","https://openalex.org/W2038821742","https://openalex.org/W2043169478","https://openalex.org/W2047936996","https://openalex.org/W2054857826","https://openalex.org/W2056200968","https://openalex.org/W2064675550","https://openalex.org/W2080289724","https://openalex.org/W2082645628","https://openalex.org/W2084109136","https://openalex.org/W2085662862","https://openalex.org/W2087589285","https://openalex.org/W2096297019","https://openalex.org/W2097088535","https://openalex.org/W2109481947","https://openalex.org/W2114613490","https://openalex.org/W2116363218","https://openalex.org/W2143002682","https://openalex.org/W2144723972","https://openalex.org/W2148822124","https://openalex.org/W2154024118","https://openalex.org/W2163928333","https://openalex.org/W2164974096","https://openalex.org/W2167659819","https://openalex.org/W2168031754","https://openalex.org/W2168465881","https://openalex.org/W2170058929","https://openalex.org/W2187281534","https://openalex.org/W2314395941","https://openalex.org/W2336523993","https://openalex.org/W2394781531","https://openalex.org/W2408449330","https://openalex.org/W2431563665","https://openalex.org/W2489351452","https://openalex.org/W2508416068","https://openalex.org/W2517126031","https://openalex.org/W2526688286","https://openalex.org/W2526834636","https://openalex.org/W2578895956","https://openalex.org/W2610961739","https://openalex.org/W6602508285","https://openalex.org/W6628675675","https://openalex.org/W6630073874","https://openalex.org/W6686999899","https://openalex.org/W6703438467","https://openalex.org/W6711960506","https://openalex.org/W6727993309"],"related_works":["https://openalex.org/W2560936962","https://openalex.org/W2788727012","https://openalex.org/W4388203630","https://openalex.org/W2526386912","https://openalex.org/W2410591377","https://openalex.org/W2323113755","https://openalex.org/W2506793457","https://openalex.org/W2123430089","https://openalex.org/W2896040370","https://openalex.org/W2477785263"],"abstract_inverted_index":{"Mood":[0],"disorders,":[1,59],"including":[2],"unipolar":[3],"depression":[4],"(UD)":[5],"and":[6,69,113,135,158,189,376],"bipolar":[7],"disorder":[8,84,138,153,180,226,245,334,368],"(BD)":[9],"[1]":[10],",":[11],"are":[12,41,187,218,259,273,297],"reported":[13],"to":[14,79,191,221,233,240,262,275,317,328],"be":[15,64],"one":[16],"of":[17,38,57,82,91,98,199,287,345,363],"the":[18,30,87,96,109,128,143,149,163,177,193,200,206,209,213,223,235,242,250,304,319,323,343,346,355,371],"most":[19,50],"common":[20],"mental":[21],"illnesses":[22],"in":[23,66,89],"recent":[24],"years.":[25],"In":[26],"diagnostic":[27],"evaluation":[28,344],"on":[29,54,86,108,374],"outpatients":[31],"with":[32,249,326],"mood":[33,58,83,137,152,179,225,244,333,367],"disorder,":[34],"a":[35,136,170,263,277,308],"large":[36],"portion":[37],"BD":[39,112],"patients":[40],"initially":[42],"misdiagnosed":[43],"as":[44,169],"having":[45],"UD":[46,114],"[2]":[47],".":[48],"As":[49,148],"previous":[51],"research":[52],"focused":[53],"long-term":[55],"monitoring":[56],"short-term":[60,80,106],"detection":[61,68,81,107],"which":[62],"could":[63],"used":[65,190,220,232,274],"early":[67],"intervention":[70],"is":[71,102,155,161,167,231,315],"thus":[72],"desirable.":[73],"This":[74,116],"work":[75,117],"proposes":[76],"an":[77,122,361],"approach":[78],"based":[85,373],"patterns":[88],"emotion":[90,159,283,288,295,301,324],"elicited":[92],"speech":[93,216,292],"responses.":[94],"To":[95],"best":[97],"our":[99],"knowledge,":[100],"there":[101],"no":[103],"database":[104,124,139,154,166,172,239,246],"for":[105,173,247,266,285,332,342,366],"discrimination":[110],"between":[111],"currently.":[115],"collected":[118,126,141,150,236],"two":[119],"databases":[120],"containing":[121],"emotional":[123,165,185,203,238,257,330],"(MHMC-EM)":[125],"by":[127,142,212],"Multimedia":[129],"Human":[130],"Machine":[131],"Communication":[132],"(MHMC)":[133],"lab":[134],"(CHI-MEI)":[140],"CHI-MEI":[144,151,178,224,243],"Medical":[145],"Center,":[146],"Taiwan.":[147],"quite":[156],"small":[157],"annotation":[160],"difficult,":[162],"MHMC-EM":[164,237,256],"selected":[168,188],"reference":[171],"data":[174,181,251,258],"adaptation.":[175],"For":[176],"collection,":[182],"six":[183,201,329],"eliciting":[184,202],"videos":[186,331],"elicit":[192],"participants'":[194],"emotions.":[195],"After":[196],"watching":[197],"each":[198,291],"video":[204],"clips,":[205],"participants":[207],"answer":[208],"questions":[210],"raised":[211],"clinician.":[214],"The":[215,254,270,294],"responses":[217],"then":[219,260,298],"construct":[222,276],"database.":[227],"Hierarchical":[228],"spectral":[229],"clustering":[230],"adapt":[234],"fit":[241],"dealing":[248],"bias":[252],"problem.":[253],"adapted":[255],"fed":[261],"denoising":[264],"autoencoder":[265],"bottleneck":[267,271],"feature":[268],"extraction.":[269],"features":[272],"long":[278],"short":[279],"term":[280],"memory":[281],"(LSTM)-based":[282],"detector":[284],"generation":[286],"profiles":[289,296],"from":[290],"response.":[293],"clustered":[299],"into":[300],"codewords":[302,325],"using":[303],"K-means":[305],"algorithm.":[306],"Finally,":[307],"class-specific":[309,348,357],"latent":[310],"affective":[311],"structure":[312],"model":[313,318],"(LASM)":[314],"proposed":[316,347,356],"structural":[320],"relationships":[321],"among":[322],"respect":[327],"detection.":[335],"Leave-one-group-out":[336],"cross":[337],"validation":[338],"scheme":[339],"was":[340],"employed":[341],"LASM-based":[349,358],"approaches.":[350],"Experimental":[351],"results":[352],"show":[353],"that":[354],"method":[359],"achieved":[360],"accuracy":[362],"73.33":[364],"percent":[365],"detection,":[369],"outperforming":[370],"classifiers":[372],"SVM":[375],"LSTM.":[377]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
