{"id":"https://openalex.org/W4403136502","doi":"https://doi.org/10.1142/s021800142450023x","title":"Graph-Based Multi-Feature Fusion Method for Speech Emotion Recognition","display_name":"Graph-Based Multi-Feature Fusion Method for Speech Emotion Recognition","publication_year":2024,"publication_date":"2024-10-04","ids":{"openalex":"https://openalex.org/W4403136502","doi":"https://doi.org/10.1142/s021800142450023x"},"language":"en","primary_location":{"id":"doi:10.1142/s021800142450023x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021800142450023x","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","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/A5009275304","display_name":"Xueyu Liu","orcid":"https://orcid.org/0009-0009-9894-5785"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xueyu Liu","raw_affiliation_strings":["School of Economics and Management, Tongji University, No. 1, Zhangwu Road, Shanghai 200090, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Tongji University, No. 1, Zhangwu Road, Shanghai 200090, P. R. China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100965953","display_name":"Lin Jie","orcid":"https://orcid.org/0000-0001-8824-5587"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Lin","raw_affiliation_strings":["School of Economics and Management, Tongji University, No. 1, Zhangwu Road, Shanghai 200090, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Tongji University, No. 1, Zhangwu Road, Shanghai 200090, P. R. China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":null,"display_name":"Chao Wang","orcid":"https://orcid.org/0000-0001-6036-359X"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Wang","raw_affiliation_strings":["School of Economics and Management, Tongji University, No. 1, Zhangwu Road, Shanghai 200090, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Tongji University, No. 1, Zhangwu Road, Shanghai 200090, P. R. China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5009275304"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":7.6625,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.96746009,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"38","issue":"16","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.6736999750137329,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.6736999750137329,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.5882999897003174,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.5651000142097473,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6928815245628357},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.610283374786377},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5458519458770752},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5402739644050598},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5227632522583008},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5154688954353333},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5137544870376587},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4716719090938568},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.38097620010375977},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.17222580313682556},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07689478993415833}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6928815245628357},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.610283374786377},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5458519458770752},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5402739644050598},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5227632522583008},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5154688954353333},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5137544870376587},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4716719090938568},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.38097620010375977},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.17222580313682556},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07689478993415833},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s021800142450023x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021800142450023x","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8095761369","display_name":null,"funder_award_id":"22692108300","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"},{"id":"https://openalex.org/G889009803","display_name":null,"funder_award_id":"71672128","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/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W786031425","https://openalex.org/W1859525111","https://openalex.org/W1970578576","https://openalex.org/W1977995219","https://openalex.org/W1990581042","https://openalex.org/W2023937851","https://openalex.org/W2032254851","https://openalex.org/W2090777335","https://openalex.org/W2100804571","https://openalex.org/W2103075368","https://openalex.org/W2111926505","https://openalex.org/W2162630660","https://openalex.org/W2163922914","https://openalex.org/W2168241833","https://openalex.org/W2239141610","https://openalex.org/W2400745442","https://openalex.org/W2618530766","https://openalex.org/W2625297138","https://openalex.org/W2746419079","https://openalex.org/W2751214333","https://openalex.org/W2766122029","https://openalex.org/W2798536775","https://openalex.org/W2889325879","https://openalex.org/W2897444637","https://openalex.org/W2907492528","https://openalex.org/W2910165986","https://openalex.org/W2918087949","https://openalex.org/W2950697450","https://openalex.org/W2969889150","https://openalex.org/W2972602947","https://openalex.org/W2980587061","https://openalex.org/W2981677410","https://openalex.org/W2982327501","https://openalex.org/W3043990051","https://openalex.org/W3047923429","https://openalex.org/W3060638696","https://openalex.org/W3096125675","https://openalex.org/W3124806699","https://openalex.org/W3126750668","https://openalex.org/W3135674174","https://openalex.org/W3161428216","https://openalex.org/W3169062464","https://openalex.org/W3193766423","https://openalex.org/W3196735225","https://openalex.org/W3197055506","https://openalex.org/W3199774400","https://openalex.org/W3200504467","https://openalex.org/W3209397829","https://openalex.org/W3213097325","https://openalex.org/W4220785590","https://openalex.org/W4224325975","https://openalex.org/W4225931507","https://openalex.org/W4292794012","https://openalex.org/W4293793243","https://openalex.org/W4310398825","https://openalex.org/W4312345918","https://openalex.org/W4312611743","https://openalex.org/W4312729513","https://openalex.org/W4313591463","https://openalex.org/W4313598803","https://openalex.org/W4319984789","https://openalex.org/W4321353595","https://openalex.org/W4321788995","https://openalex.org/W4323569712","https://openalex.org/W4361191581","https://openalex.org/W4380154492","https://openalex.org/W4381166482","https://openalex.org/W4385338823","https://openalex.org/W4385815442","https://openalex.org/W4386524296","https://openalex.org/W4387520772","https://openalex.org/W4387682244","https://openalex.org/W4387846585","https://openalex.org/W4392904372"],"related_works":["https://openalex.org/W2099421762","https://openalex.org/W2530546662","https://openalex.org/W3147584709","https://openalex.org/W2967030268","https://openalex.org/W2977677679","https://openalex.org/W2185253430","https://openalex.org/W1992327129","https://openalex.org/W4210345652","https://openalex.org/W3126677997","https://openalex.org/W1610857240"],"abstract_inverted_index":{"Exploring":[0],"proper":[1],"way":[2],"to":[3,32,48,104,156,232],"conduct":[4],"multi-speech":[5],"feature":[6,64,123,147,313],"fusion":[7,69,102,137,306,314],"for":[8,65,121,139,267,273,277,280,289,293],"cross-corpus":[9],"speech":[10,63,122,140,146,179],"emotion":[11,25,28,66,141,169],"recognition":[12,29],"is":[13,44,339],"crucial":[14],"as":[15,72,148,248],"different":[16],"audio":[17,113],"features":[18,85,131,155,177],"could":[19],"provide":[20],"complementary":[21],"cues":[22],"reflecting":[23],"human":[24],"status.":[26],"Speech":[27,210],"allows":[30],"computers":[31],"analyze":[33],"the":[34,39,49,82,107,159,166,173,184,222,226,233,236,261,264,282,322],"specific":[35],"emotional":[36],"condition":[37],"of":[38,45,51,91,112,168,192,297,321,334],"speaker":[40],"through":[41],"speech,":[42],"which":[43,115],"great":[46],"significance":[47],"development":[50],"human\u2013computer":[52],"interaction":[53,83],"technology.":[54],"While":[55],"most":[56],"previous":[57],"approaches":[58],"only":[59],"extract":[60],"a":[61,99,117,128,149,209,301,331],"single":[62],"recognition,":[67],"existing":[68,92],"methods":[70],"such":[71],"concatenation,":[73],"parallel":[74],"connection,":[75],"and":[76,86,151,186,208,240,251,258,275,279,291,336],"splicing":[77],"ignore":[78],"heterogeneous":[79],"patterns":[80],"in":[81,89,165,235],"between":[84,109,161],"features,":[87,114],"resulting":[88],"performance":[90,230],"systems.":[93],"In":[94],"this":[95],"paper,":[96],"we":[97,126],"propose":[98,127],"novel":[100],"graph-based":[101,135],"method":[103,138,227],"explicitly":[105,157],"model":[106],"relationships":[108],"every":[110],"pair":[111,164],"provides":[116],"new":[118],"research":[119],"idea":[120],"fusion.":[124],"Specifically,":[125],"multi-dimensional":[129,153,175],"edge":[130,154,176,187],"learning":[132],"strategy":[133],"called":[134],"multi-feature":[136],"recognition.":[142,170],"It":[143],"represents":[144],"each":[145,162],"node":[150],"learns":[152],"describe":[158],"relationship":[160],"feature-feature":[163],"context":[167],"This":[171],"way,":[172],"learned":[174],"encode":[178],"feature-level":[180],"information":[181],"from":[182,245],"both":[183],"vertex":[185],"dimensions.":[188],"Our":[189],"approach":[190,329],"consists":[191],"three":[193],"modules:":[194],"an":[195,201],"Audio":[196],"Feature":[197,205],"Generation":[198],"(AFG)":[199],"module,":[200],"Audio-Feature":[202],"Multi-dimensional":[203],"Edge":[204],"(AMEF)":[206],"module":[207],"Emotion":[211],"Recognition":[212],"(SER)":[213],"module.":[214],"The":[215,295,316],"proposed":[216],"methodology":[217,299],"yielded":[218],"satisfactory":[219],"outcomes":[220,296],"on":[221,260,318],"SEWA":[223,262],"dataset.":[224],"Furthermore,":[225],"demonstrated":[228],"enhanced":[229],"compared":[231],"baseline":[234],"AVEC":[237],"2019":[238],"Workshop":[239],"Challenge.":[241],"We":[242],"used":[243],"data":[244],"two":[246,254],"cultures":[247,255],"our":[249,298,328],"training":[250],"validation":[252],"sets:":[253],"containing":[256],"German":[257,268],"Hungarian":[259],"dataset,":[263],"CCC":[265,283],"scores":[266,284],"are":[269,285],"improved":[270,286],"by":[271,287],"17.28%":[272],"arousal":[274,290],"7.93%":[276],"liking,":[278],"Hungarian,":[281],"11.15%":[288],"131.11%":[292],"valence.":[294],"demonstrate":[300,326],"13%":[302],"improvement":[303],"over":[304],"alternative":[305],"techniques,":[307],"including":[308],"those":[309],"employing":[310],"one-dimensional":[311],"edge-based":[312],"approach.":[315],"experiments":[317],"some":[319],"parts":[320],"Aff-Wild":[323],"2":[324],"dataset":[325],"that":[327],"exhibits":[330],"certain":[332],"degree":[333],"generalizability":[335],"robustness.":[337],"Code":[338],"available":[340],"at":[341],"https://github.com/ChaosWang666/Graph-based-multi-Feature-fusion-method":[342],".":[343]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
