{"id":"https://openalex.org/W4312619379","doi":"https://doi.org/10.1109/iscas48785.2022.9938005","title":"Multimodal Attentive Learning for Real-time Explainable Emotion Recognition in Conversations","display_name":"Multimodal Attentive Learning for Real-time Explainable Emotion Recognition in Conversations","publication_year":2022,"publication_date":"2022-05-28","ids":{"openalex":"https://openalex.org/W4312619379","doi":"https://doi.org/10.1109/iscas48785.2022.9938005"},"language":"en","primary_location":{"id":"doi:10.1109/iscas48785.2022.9938005","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas48785.2022.9938005","pdf_url":null,"source":{"id":"https://openalex.org/S4363604393","display_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5009753538","display_name":"Balaji Arumugam","orcid":"https://orcid.org/0000-0002-4927-0138"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Balaji Arumugam","raw_affiliation_strings":["The State University of New York at Buffalo,NY,USA","The State University of New York at Buffalo, NY, USA"],"affiliations":[{"raw_affiliation_string":"The State University of New York at Buffalo,NY,USA","institution_ids":["https://openalex.org/I63190737"]},{"raw_affiliation_string":"The State University of New York at Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102791840","display_name":"Sreyasee Das Bhattacharjee","orcid":"https://orcid.org/0000-0001-5393-0840"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sreyasee Das Bhattacharjee","raw_affiliation_strings":["The State University of New York at Buffalo,NY,USA","The State University of New York at Buffalo, NY, USA"],"affiliations":[{"raw_affiliation_string":"The State University of New York at Buffalo,NY,USA","institution_ids":["https://openalex.org/I63190737"]},{"raw_affiliation_string":"The State University of New York at Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085245110","display_name":"Junsong Yuan","orcid":"https://orcid.org/0000-0002-7901-8793"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junsong Yuan","raw_affiliation_strings":["The State University of New York at Buffalo,NY,USA","The State University of New York at Buffalo, NY, USA"],"affiliations":[{"raw_affiliation_string":"The State University of New York at Buffalo,NY,USA","institution_ids":["https://openalex.org/I63190737"]},{"raw_affiliation_string":"The State University of New York at Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5009753538"],"corresponding_institution_ids":["https://openalex.org/I63190737"],"apc_list":null,"apc_paid":null,"fwci":1.2451,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.81764706,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1210","last_page":"1214"},"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":0.9972000122070312,"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":0.9944999814033508,"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":0.7967396378517151},{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.7266346216201782},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.693976879119873},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.629984438419342},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4923919439315796},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4670979380607605},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.4655761122703552},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4297446310520172},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4217836856842041},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3226637542247772},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09437534213066101},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.08189183473587036}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7967396378517151},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.7266346216201782},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.693976879119873},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.629984438419342},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4923919439315796},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4670979380607605},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.4655761122703552},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4297446310520172},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4217836856842041},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3226637542247772},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09437534213066101},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.08189183473587036},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas48785.2022.9938005","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas48785.2022.9938005","pdf_url":null,"source":{"id":"https://openalex.org/S4363604393","display_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1679826675","https://openalex.org/W2079725295","https://openalex.org/W2146334809","https://openalex.org/W2168465881","https://openalex.org/W2341528187","https://openalex.org/W2526050071","https://openalex.org/W2546919788","https://openalex.org/W2583643061","https://openalex.org/W2584561145","https://openalex.org/W2740550900","https://openalex.org/W2787581402","https://openalex.org/W2805662932","https://openalex.org/W2891359673","https://openalex.org/W2946165673","https://openalex.org/W2949391930","https://openalex.org/W2962796276","https://openalex.org/W2963686995","https://openalex.org/W2963702064","https://openalex.org/W2964010806","https://openalex.org/W2964266095","https://openalex.org/W2964300796","https://openalex.org/W2964346351","https://openalex.org/W2965453734","https://openalex.org/W2997573100","https://openalex.org/W3083650259","https://openalex.org/W3092695663","https://openalex.org/W3098556456","https://openalex.org/W3101998545","https://openalex.org/W3102889207","https://openalex.org/W3153807302","https://openalex.org/W4287812705","https://openalex.org/W6684552223","https://openalex.org/W6770430426","https://openalex.org/W6776700526","https://openalex.org/W6793888015"],"related_works":["https://openalex.org/W2312116756","https://openalex.org/W2067892149","https://openalex.org/W170734112","https://openalex.org/W3196711847","https://openalex.org/W2046830725","https://openalex.org/W2082059984","https://openalex.org/W2971222961","https://openalex.org/W3043413940","https://openalex.org/W2164471543","https://openalex.org/W3166354985"],"abstract_inverted_index":{"Human":[0],"emotion":[1,113,131],"recognition":[2],"plays":[3],"a":[4,35,46,79,99],"pivotal":[5],"role":[6],"in":[7,19,31,110,119,126,141],"building":[8],"an":[9],"intelligent":[10],"conversational":[11],"agent":[12],"for":[13],"providing":[14],"real-time":[15,120],"automated":[16],"support":[17],"service":[18],"various":[20],"problem":[21],"settings.":[22],"Recent":[23],"research":[24],"works":[25,140],"have":[26],"explored":[27],"the":[28,39,54,59,67,91,105,112,116,127,149],"temporal":[29,72],"patterns":[30],"conversations":[32,44],"to":[33],"enable":[34],"comprehensive":[36],"understanding":[37],"of":[38,43,58,66,87,90,115,151],"content":[40],"and":[41,64,70,93,121,146],"context":[42,65],"from":[45],"video":[47],"clip,":[48],"which":[49],"does":[50],"not":[51],"fully":[52],"leverage":[53],"multi-modal":[55],"(facial":[56],"expressions":[57],"participants,":[60],"speech":[61],"tone,":[62],"content,":[63],"discussion)":[68],"information":[69],"their":[71,94],"evolution.":[73],"To":[74],"address":[75],"this,":[76],"we":[77],"propose":[78],"multimodal":[80],"attentive":[81],"learning":[82],"framework":[83],"that":[84,129],"keeps":[85],"track":[86],"spatio-temporal":[88],"states":[89],"participants":[92],"conversation":[95,128],"dynamics.":[96],"By":[97],"designing":[98],"novel":[100],"contrastive":[101],"loss-based":[102],"optimization":[103],"framework,":[104],"proposed":[106],"method":[107],"exhibits":[108],"promise":[109],"identifying":[111],"state":[114],"individual":[117],"speaker":[118],"can":[122],"identify":[123],"top-k":[124],"words":[125],"influence":[130],"recognition.":[132],"The":[133],"consistent":[134],"superior":[135],"performance":[136],"over":[137],"other":[138],"state-of-the-art":[139],"two":[142],"large-scale":[143],"datasets,":[144],"MELD":[145],"IEMOCAP,":[147],"demonstrate":[148],"feasibility":[150],"our":[152],"approach.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}