{"id":"https://openalex.org/W4243716403","doi":"https://doi.org/10.21437/interspeech.2005-583","title":"Using context to improve emotion detection in spoken dialog systems","display_name":"Using context to improve emotion detection in spoken dialog systems","publication_year":2005,"publication_date":"2005-09-04","ids":{"openalex":"https://openalex.org/W4243716403","doi":"https://doi.org/10.21437/interspeech.2005-583"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2005-583","doi":"https://doi.org/10.21437/interspeech.2005-583","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2005-583","pdf_url":null,"source":{"id":"https://openalex.org/S4393918409","display_name":"Interspeech (USB)","issn_l":"2308-457X","issn":["2308-457X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","norway-1"],"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":"Interspeech 2005","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5053935724","display_name":"Jackson Liscombe","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jackson Liscombe","raw_affiliation_strings":["Columbia University Computer Science Department New York City, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Columbia University Computer Science Department New York City, New York, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062879885","display_name":"Giuseppe Riccardi","orcid":"https://orcid.org/0000-0002-0739-8184","observed_orcids":["https://orcid.org/0000-0002-0739-8184"]},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Giuseppe Riccardi","raw_affiliation_strings":["AT&T Labs Research Florham Park, New Jersey, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AT&T Labs Research Florham Park, New Jersey, USA","institution_ids":["https://openalex.org/I1283103587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068709817","display_name":"Dilek Zeynep Hakkani-T\u00fcr","orcid":"https://orcid.org/0000-0001-5246-2117","observed_orcids":["https://orcid.org/0000-0001-5246-2117"]},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dilek Hakkani-T\u00fcr","raw_affiliation_strings":["AT&T Labs Research Florham Park, New Jersey, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AT&T Labs Research Florham Park, New Jersey, USA","institution_ids":["https://openalex.org/I1283103587"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.5043,"has_fulltext":false,"cited_by_count":70,"citation_normalized_percentile":{"value":0.96646943,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1845","last_page":"1848"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.8906000256538391,"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":0.8906000256538391,"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/T12031","display_name":"Speech and dialogue systems","score":0.1054999977350235,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.0024999999441206455,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"emotion recognition","score":0.9779999852180481},{"id":"https://openalex.org/keywords/spoken-dialogue-systems","display_name":"spoken dialogue systems","score":0.9700000286102295},{"id":"https://openalex.org/keywords/contextual-features","display_name":"contextual features","score":0.7459999918937683},{"id":"https://openalex.org/keywords/user-emotions","display_name":"user emotions","score":0.7099999785423279},{"id":"https://openalex.org/keywords/prosodic-features","display_name":"prosodic features","score":0.7670000195503235},{"id":"https://openalex.org/keywords/lexical-features","display_name":"lexical features","score":0.9620000123977661}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.81917405128479},{"id":"https://openalex.org/C173853756","wikidata":"https://www.wikidata.org/wiki/Q86915","display_name":"Dialog box","level":2,"score":0.7810137271881104},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6317868828773499},{"id":"https://openalex.org/C190954187","wikidata":"https://www.wikidata.org/wiki/Q5270587","display_name":"Dialog system","level":3,"score":0.6314815282821655},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.48871803283691406},{"id":"https://openalex.org/C2988148770","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion detection","level":3,"score":0.4671363830566406},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.458533376455307},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38462522625923157},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.37657856941223145},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.1991182565689087},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.17603754997253418},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.05418679118156433},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2005-583","doi":"https://doi.org/10.21437/interspeech.2005-583","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2005-583","pdf_url":null,"source":{"id":"https://openalex.org/S4393918409","display_name":"Interspeech (USB)","issn_l":"2308-457X","issn":["2308-457X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","norway-1"],"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":"Interspeech 2005","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W43424074","https://openalex.org/W1514944708","https://openalex.org/W1540664512","https://openalex.org/W1631904934","https://openalex.org/W1710701674","https://openalex.org/W1820568255","https://openalex.org/W1871454983","https://openalex.org/W1875231349","https://openalex.org/W2124864341","https://openalex.org/W2156140659","https://openalex.org/W4390911339"],"related_works":["https://openalex.org/W2120757491","https://openalex.org/W2007450092","https://openalex.org/W1567956860","https://openalex.org/W1590136220","https://openalex.org/W2158596451","https://openalex.org/W2550931736","https://openalex.org/W6992660205","https://openalex.org/W2121139690","https://openalex.org/W7098428946","https://openalex.org/W2067119267"],"abstract_inverted_index":{"Most":[0],"research":[1],"that":[2,20,62,72],"explores":[3],"the":[4,17,21,36,50,74],"emotional":[5,37],"state":[6,38,82],"of":[7,9,28,39,45,76],"users":[8],"spoken":[10,58,77],"dialog":[11,22,59,78],"systems":[12],"does":[13],"not":[14],"fully":[15],"utilize":[16],"contextual":[18,70],"nature":[19],"structure":[23,75],"provides.This":[24],"paper":[25],"reports":[26],"results":[27],"machine":[29],"learning":[30],"experiments":[31],"designed":[32],"to":[33],"automatically":[34],"classify":[35],"user":[40,81],"turns":[41],"using":[42],"a":[43],"corpus":[44],"5,690":[46],"dialogs":[47],"collected":[48],"with":[49,69],"\"How":[51],"May":[52],"I":[53],"Help":[54],"You":[55],"SM":[56],"\"":[57],"system.We":[60],"show":[61],"augmenting":[63],"standard":[64],"lexical":[65],"and":[66,79],"prosodic":[67],"features":[68,71],"exploit":[73],"track":[80],"increases":[83],"classification":[84],"accuracy":[85],"by":[86],"2.6%.":[87]},"counts_by_year":[{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":5}],"updated_date":"2026-11-03T10:50:19.383937","created_date":"2022-05-12T00:00:00"}
