{"id":"https://openalex.org/W3183071693","doi":"https://doi.org/10.3233/ida-205183","title":"Multimodal emotion recognition with hierarchical memory networks","display_name":"Multimodal emotion recognition with hierarchical memory networks","publication_year":2021,"publication_date":"2021-07-09","ids":{"openalex":"https://openalex.org/W3183071693","doi":"https://doi.org/10.3233/ida-205183","mag":"3183071693"},"language":"en","primary_location":{"id":"doi:10.3233/ida-205183","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-205183","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","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/A5066252076","display_name":"Helang Lai","orcid":"https://orcid.org/0000-0001-6114-2959"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]},{"id":"https://openalex.org/I4210147983","display_name":"Guangdong Police College","ror":"https://ror.org/05krxyw16","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210147983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Helang Lai","raw_affiliation_strings":["Guangdong Justice Police Vocational College, Guangzhou, Guangdong, China","School of Computer Science, South China Normal University, Guangzhou, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Justice Police Vocational College, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I4210147983"]},{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068296887","display_name":"Keke Wu","orcid":"https://orcid.org/0000-0002-4117-1370"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Keke Wu","raw_affiliation_strings":["Shenzhen Institute of Information Technology, Shenzhen, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Information Technology, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I158809036"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100731288","display_name":"Lingli Li","orcid":"https://orcid.org/0000-0001-8898-5817"},"institutions":[{"id":"https://openalex.org/I4210147983","display_name":"Guangdong Police College","ror":"https://ror.org/05krxyw16","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210147983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingli Li","raw_affiliation_strings":["Guangdong Justice Police Vocational College, Guangzhou, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Justice Police Vocational College, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I4210147983"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5068296887"],"corresponding_institution_ids":["https://openalex.org/I158809036"],"apc_list":null,"apc_paid":null,"fwci":0.5259,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.67340077,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"25","issue":"4","first_page":"1031","last_page":"1045"},"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9991000294685364,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.98580002784729,"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/utterance","display_name":"Utterance","score":0.9093120098114014},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7902511358261108},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.6015864610671997},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5850034356117249},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4226503074169159},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3785228133201599},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3584851026535034}],"concepts":[{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.9093120098114014},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7902511358261108},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.6015864610671997},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5850034356117249},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4226503074169159},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3785228133201599},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3584851026535034},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/ida-205183","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-205183","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1551039219","https://openalex.org/W1625561818","https://openalex.org/W1973453096","https://openalex.org/W1983978765","https://openalex.org/W1993382978","https://openalex.org/W1994518960","https://openalex.org/W2012372415","https://openalex.org/W2033702744","https://openalex.org/W2047024757","https://openalex.org/W2055332436","https://openalex.org/W2064675550","https://openalex.org/W2085662862","https://openalex.org/W2095705004","https://openalex.org/W2097998348","https://openalex.org/W2098689807","https://openalex.org/W2114399139","https://openalex.org/W2138611879","https://openalex.org/W2140211181","https://openalex.org/W2146334809","https://openalex.org/W2149465541","https://openalex.org/W2158335606","https://openalex.org/W2164699598","https://openalex.org/W2165938099","https://openalex.org/W2168493061","https://openalex.org/W2170436435","https://openalex.org/W2268421884","https://openalex.org/W2277498883","https://openalex.org/W2376179408","https://openalex.org/W2519334175","https://openalex.org/W2554487505","https://openalex.org/W2578994755","https://openalex.org/W2583643061","https://openalex.org/W2584561145","https://openalex.org/W2619383789","https://openalex.org/W2740550900","https://openalex.org/W2767249564","https://openalex.org/W2768815928","https://openalex.org/W2787581402","https://openalex.org/W2805662932","https://openalex.org/W2884001105","https://openalex.org/W2889779612","https://openalex.org/W2891359673","https://openalex.org/W2917491614","https://openalex.org/W2938580148","https://openalex.org/W2962718314","https://openalex.org/W2962796276","https://openalex.org/W2963520511","https://openalex.org/W2963609745","https://openalex.org/W2963702064","https://openalex.org/W2963710346","https://openalex.org/W2964091467","https://openalex.org/W2964300796","https://openalex.org/W2964326992","https://openalex.org/W2964818584","https://openalex.org/W2982562461","https://openalex.org/W6600728650","https://openalex.org/W6674330103","https://openalex.org/W6674385629"],"related_works":["https://openalex.org/W2529301793","https://openalex.org/W2384121599","https://openalex.org/W2038083449","https://openalex.org/W2562096895","https://openalex.org/W2333799855","https://openalex.org/W3177678247","https://openalex.org/W1999617572","https://openalex.org/W2944572343","https://openalex.org/W2351687372","https://openalex.org/W4307784074"],"abstract_inverted_index":{"Emotion":[0],"recognition":[1],"in":[2,23,153],"conversations":[3],"is":[4,8,26,128],"crucial":[5],"as":[6],"there":[7],"an":[9,136,150],"urgent":[10],"need":[11],"to":[12,27,51,72,90,95,105,121,131],"improve":[13],"the":[14,53,62,74,81,97,107,123,132,146,154,158,165],"overall":[15],"experience":[16],"of":[17,37,55,76],"human-computer":[18],"interactions.":[19],"A":[20],"promising":[21],"improvement":[22],"this":[24],"field":[25],"develop":[28],"a":[29,38,43],"model":[30,80,91,163],"that":[31,127],"can":[32,115],"effectively":[33],"extract":[34],"adequate":[35],"contexts":[36,63],"test":[39,133,147],"utterance.":[40,134],"We":[41],"introduce":[42],"novel":[44],"model,":[45],"termed":[46],"hierarchical":[47],"memory":[48,88,103],"networks":[49,89,104],"(HMN),":[50],"address":[52],"issues":[54],"recognizing":[56],"utterance":[57,126,148],"level":[58],"emotions.":[59],"HMN":[60,84,100],"divides":[61],"into":[64,110],"different":[65,69],"aspects":[66],"and":[67,119],"employs":[68,101],"step":[70],"lengths":[71],"represent":[73],"weights":[75],"these":[77,92,140],"aspects.":[78,93],"To":[79],"self":[82],"dependencies,":[83,99],"takes":[85],"independent":[86],"local":[87,108],"Further,":[94],"capture":[96],"interpersonal":[98],"global":[102,111],"integrate":[106],"outputs":[109],"storages.":[112],"Such":[113],"storages":[114,141],"generate":[116],"contextual":[117],"summaries":[118],"help":[120],"find":[122],"emotional":[124],"dependent":[125],"most":[129],"relevant":[130],"With":[135],"attention-based":[137],"multi-hops":[138],"scheme,":[139],"are":[142],"then":[143],"merged":[144],"with":[145,168],"using":[149],"addition":[151],"operation":[152],"iterations.":[155],"Experiments":[156],"on":[157],"IEMOCAP":[159],"dataset":[160],"show":[161],"our":[162],"outperforms":[164],"compared":[166],"methods":[167],"accuracy":[169],"improvement.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
