{"id":"https://openalex.org/W2164643209","doi":"https://doi.org/10.1186/1687-6180-2011-4","title":"Utterance independent bimodal emotion recognition in spontaneous communication","display_name":"Utterance independent bimodal emotion recognition in spontaneous communication","publication_year":2011,"publication_date":"2011-05-13","ids":{"openalex":"https://openalex.org/W2164643209","doi":"https://doi.org/10.1186/1687-6180-2011-4","mag":"2164643209"},"language":"en","primary_location":{"id":"doi:10.1186/1687-6180-2011-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-6180-2011-4","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-6180-2011-4","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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 Advances in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-6180-2011-4","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112613657","display_name":"Jianhua Tao","orcid":"https://orcid.org/0000-0002-9344-6428"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianhua Tao","raw_affiliation_strings":["National Laboratory or Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100190, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory or Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100190, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103063104","display_name":"Shifeng Pan","orcid":"https://orcid.org/0000-0002-9338-7800"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shifeng Pan","raw_affiliation_strings":["National Laboratory or Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100190, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory or Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100190, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108361021","display_name":"Minghao Yang","orcid":"https://orcid.org/0000-0001-5397-3576"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minghao Yang","raw_affiliation_strings":["National Laboratory or Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100190, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory or Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100190, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100343665","display_name":"Ya Li","orcid":"https://orcid.org/0000-0002-7710-5770"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ya Li","raw_affiliation_strings":["National Laboratory or Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100190, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory or Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100190, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075284505","display_name":"Kaihui Mu","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaihui Mu","raw_affiliation_strings":["National Laboratory or Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100190, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory or Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100190, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055252403","display_name":"Jianfeng Che","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfeng Che","raw_affiliation_strings":["National Laboratory or Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100190, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory or Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100190, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5112613657"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"],"apc_list":{"value":1665,"currency":"USD","value_usd":1665},"apc_paid":{"value":1665,"currency":"USD","value_usd":1665},"fwci":1.091,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.80628435,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2011","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":0.9998000264167786,"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":0.9998000264167786,"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/T10860","display_name":"Speech and Audio Processing","score":0.9961000084877014,"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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9889000058174133,"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":0.9239363670349121},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7918449640274048},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7550790309906006},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.6139293909072876},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5562491416931152},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5536535382270813},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4550333023071289},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.4163171052932739},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4125380218029022},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.33530813455581665},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09398490190505981}],"concepts":[{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.9239363670349121},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7918449640274048},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7550790309906006},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.6139293909072876},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5562491416931152},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5536535382270813},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4550333023071289},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.4163171052932739},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4125380218029022},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33530813455581665},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09398490190505981},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/1687-6180-2011-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-6180-2011-4","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-6180-2011-4","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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 Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8b8cb81fbc0345b5a08f970db018cab0","is_oa":true,"landing_page_url":"https://doaj.org/article/8b8cb81fbc0345b5a08f970db018cab0","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 Advances in Signal Processing, Vol 2011, Iss 1, p 4 (2011)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/1687-6180-2011-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-6180-2011-4","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-6180-2011-4","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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 Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1586967849","display_name":"\u5bf9\u8bdd\u7ba1\u7406\u4e3a\u4e2d\u5fc3\u7684\u53cc\u5411\u591a\u6a21\u6001\u53e3\u8bed\u4eba\u673a\u4ea4\u4e92\u7814\u7a76","funder_award_id":"90820303","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2978693802","display_name":"\u6587\u672c\u65e0\u5173\u7684\u8bed\u97f3\u8f6c\u6362\u65b9\u6cd5\u7814\u7a76","funder_award_id":"60873160","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4243412236","display_name":null,"funder_award_id":"863 Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335773","display_name":"National High-tech Research and Development Program","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2164643209.pdf","grobid_xml":"https://content.openalex.org/works/W2164643209.grobid-xml"},"referenced_works_count":81,"referenced_works":["https://openalex.org/W21323494","https://openalex.org/W33658992","https://openalex.org/W60557504","https://openalex.org/W99444952","https://openalex.org/W177229737","https://openalex.org/W1509031088","https://openalex.org/W1520214690","https://openalex.org/W1523224409","https://openalex.org/W1552278919","https://openalex.org/W1581153084","https://openalex.org/W1628541567","https://openalex.org/W1668904664","https://openalex.org/W1815942593","https://openalex.org/W1883737420","https://openalex.org/W1923034539","https://openalex.org/W1971063881","https://openalex.org/W1978649172","https://openalex.org/W2020944977","https://openalex.org/W2021127571","https://openalex.org/W2032210760","https://openalex.org/W2032254851","https://openalex.org/W2033773055","https://openalex.org/W2037651268","https://openalex.org/W2041649634","https://openalex.org/W2058787788","https://openalex.org/W2059348974","https://openalex.org/W2070726616","https://openalex.org/W2093797275","https://openalex.org/W2095563672","https://openalex.org/W2098790470","https://openalex.org/W2100965694","https://openalex.org/W2102570318","https://openalex.org/W2102985871","https://openalex.org/W2103743127","https://openalex.org/W2105020570","https://openalex.org/W2106115875","https://openalex.org/W2106180965","https://openalex.org/W2106390385","https://openalex.org/W2109138290","https://openalex.org/W2110052520","https://openalex.org/W2110885456","https://openalex.org/W2115135068","https://openalex.org/W2115289180","https://openalex.org/W2115941714","https://openalex.org/W2118640726","https://openalex.org/W2120157855","https://openalex.org/W2122609807","https://openalex.org/W2125027820","https://openalex.org/W2127429655","https://openalex.org/W2127462305","https://openalex.org/W2127531292","https://openalex.org/W2133775535","https://openalex.org/W2140351517","https://openalex.org/W2143132120","https://openalex.org/W2143350951","https://openalex.org/W2148071321","https://openalex.org/W2154739180","https://openalex.org/W2154997099","https://openalex.org/W2156181660","https://openalex.org/W2156503193","https://openalex.org/W2158943324","https://openalex.org/W2159017231","https://openalex.org/W2162359196","https://openalex.org/W2162418306","https://openalex.org/W2163685610","https://openalex.org/W2168053878","https://openalex.org/W2171221410","https://openalex.org/W2171939880","https://openalex.org/W2173219554","https://openalex.org/W2186222003","https://openalex.org/W2530850966","https://openalex.org/W2597684388","https://openalex.org/W2913593540","https://openalex.org/W3034751874","https://openalex.org/W3097096317","https://openalex.org/W4229971152","https://openalex.org/W4234288597","https://openalex.org/W4236822093","https://openalex.org/W4244952642","https://openalex.org/W4285719527","https://openalex.org/W4301835090"],"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/W2125652721","https://openalex.org/W2351687372"],"abstract_inverted_index":{"Emotion":[0],"expressions":[1],"sometimes":[2],"are":[3,42],"mixed":[4],"with":[5,118],"the":[6,22,26,33,53,60,63,68,71,79,90,97,101,104,128,143],"utterance":[7,27,54,72,129],"expression":[8],"in":[9,29,89,154],"spontaneous":[10],"face-to-face":[11],"communication,":[12],"which":[13,86],"makes":[14],"difficulties":[15],"for":[16,32],"emotion":[17,35,121,137,147],"recognition.":[18,36,138],"This":[19,76],"article":[20,77],"introduces":[21,78],"methods":[23,123],"of":[24,70,136,145],"reducing":[25],"influences":[28],"visual":[30,40,65,74],"parameters":[31,66],"audio-visual-based":[34],"The":[37,139],"audio":[38],"and":[39,67],"channels":[41],"first":[43],"combined":[44],"under":[45],"a":[46,111,155],"Multistream":[47],"Hidden":[48,81],"Markov":[49,82],"Model":[50,83,114],"(MHMM).":[51],"Then,":[52],"reduction":[55,130],"is":[56,87,107],"finished":[57],"by":[58],"finding":[59],"residual":[61],"between":[62],"real":[64],"outputs":[69],"related":[73],"parameters.":[75],"Fused":[80],"Inversion":[84],"method":[85,131],"trained":[88],"neutral":[91],"expressed":[92],"audio-visual":[93],"corpus":[94],"to":[95,110],"solve":[96],"problem.":[98],"To":[99],"reduce":[100],"computing":[102],"complexity":[103],"inversion":[105],"model":[106],"further":[108],"simplified":[109],"Gaussian":[112],"Mixture":[113],"(GMM)":[115],"mapping.":[116],"Compared":[117],"traditional":[119],"bimodal":[120],"recognition":[122,148],"(e.g.,":[124],"SVM,":[125],"CART,":[126],"Boosting),":[127],"can":[132],"give":[133],"better":[134],"results":[135],"experiments":[140],"also":[141],"show":[142],"effectiveness":[144],"our":[146],"system":[149],"when":[150],"it":[151],"was":[152],"used":[153],"live":[156],"environment.":[157]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}