{"id":"https://openalex.org/W2951123823","doi":"https://doi.org/10.1109/access.2019.2921390","title":"Exploration of Complementary Features for Speech Emotion Recognition Based on Kernel Extreme Learning Machine","display_name":"Exploration of Complementary Features for Speech Emotion Recognition Based on Kernel Extreme Learning Machine","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2951123823","doi":"https://doi.org/10.1109/access.2019.2921390","mag":"2951123823"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2921390","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2921390","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08732399.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08732399.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055229622","display_name":"Lili Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lili Guo","raw_affiliation_strings":["Tianjin Key Laboratory of Cognitive Computing and Application, College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Cognitive Computing and Application, College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050763764","display_name":"Longbiao Wang","orcid":"https://orcid.org/0000-0002-4005-5036"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longbiao Wang","raw_affiliation_strings":["Tianjin Key Laboratory of Cognitive Computing and Application, College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-4005-5036","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Cognitive Computing and Application, College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017251198","display_name":"Jianwu Dang","orcid":"https://orcid.org/0000-0002-9237-4821"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwu Dang","raw_affiliation_strings":["Tianjin Key Laboratory of Cognitive Computing and Application, College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Cognitive Computing and Application, College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055459279","display_name":"Zhilei Liu","orcid":"https://orcid.org/0000-0003-1447-6256"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhilei Liu","raw_affiliation_strings":["Tianjin Key Laboratory of Cognitive Computing and Application, College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-1447-6256","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Cognitive Computing and Application, College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025700414","display_name":"Haotian Guan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haotian Guan","raw_affiliation_strings":["Huiyan Technology (Tianjin) Co., Ltd., Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huiyan Technology (Tianjin) Co., Ltd., Tianjin, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5055229622"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.9361,"has_fulltext":true,"cited_by_count":62,"citation_normalized_percentile":{"value":0.96111141,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"7","issue":null,"first_page":"75798","last_page":"75809"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9998000264167786,"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/T10057","display_name":"Face and Expression Recognition","score":0.9975000023841858,"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"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9887999892234802,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.8732550144195557},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8110346794128418},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.5937279462814331},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5698769688606262},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5593410730361938},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5386106967926025},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.4428459107875824},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.43615853786468506},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39662879705429077},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3811734616756439}],"concepts":[{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.8732550144195557},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8110346794128418},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.5937279462814331},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5698769688606262},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5593410730361938},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5386106967926025},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.4428459107875824},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.43615853786468506},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39662879705429077},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3811734616756439},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2921390","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2921390","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08732399.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b5b74ad333e849c98bc3ff3659bd33c8","is_oa":true,"landing_page_url":"https://doaj.org/article/b5b74ad333e849c98bc3ff3659bd33c8","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":"IEEE Access, Vol 7, Pp 75798-75809 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2921390","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2921390","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08732399.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2134500649","display_name":null,"funder_award_id":"2018YFB1305200","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5633359880","display_name":null,"funder_award_id":"61771333","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6902439365","display_name":null,"funder_award_id":"18ZXZNGX00330","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8651560819","display_name":null,"funder_award_id":"2018YFB1305200","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2951123823.pdf","grobid_xml":"https://content.openalex.org/works/W2951123823.grobid-xml"},"referenced_works_count":67,"referenced_works":["https://openalex.org/W31566076","https://openalex.org/W147964346","https://openalex.org/W175750906","https://openalex.org/W1501669607","https://openalex.org/W1600744878","https://openalex.org/W1689711448","https://openalex.org/W1844030040","https://openalex.org/W1947481528","https://openalex.org/W1972280480","https://openalex.org/W1972340877","https://openalex.org/W1987048275","https://openalex.org/W2009059481","https://openalex.org/W2026131661","https://openalex.org/W2040604977","https://openalex.org/W2055911634","https://openalex.org/W2056030034","https://openalex.org/W2061068689","https://openalex.org/W2074788634","https://openalex.org/W2080289724","https://openalex.org/W2085662862","https://openalex.org/W2087618018","https://openalex.org/W2093174546","https://openalex.org/W2096987757","https://openalex.org/W2099767163","https://openalex.org/W2103412248","https://openalex.org/W2110063971","https://openalex.org/W2111072639","https://openalex.org/W2112796928","https://openalex.org/W2117274752","https://openalex.org/W2123237149","https://openalex.org/W2128021225","https://openalex.org/W2134603844","https://openalex.org/W2146334809","https://openalex.org/W2152057649","https://openalex.org/W2158061940","https://openalex.org/W2159948109","https://openalex.org/W2160815625","https://openalex.org/W2167854178","https://openalex.org/W2187089797","https://openalex.org/W2277498883","https://openalex.org/W2293634267","https://openalex.org/W2295001676","https://openalex.org/W2357061213","https://openalex.org/W2399733683","https://openalex.org/W2408520939","https://openalex.org/W2463468632","https://openalex.org/W2578895956","https://openalex.org/W2585720638","https://openalex.org/W2599621350","https://openalex.org/W2610961739","https://openalex.org/W2703895418","https://openalex.org/W2707551695","https://openalex.org/W2747664154","https://openalex.org/W2766272105","https://openalex.org/W2800253600","https://openalex.org/W2888786729","https://openalex.org/W2889374687","https://openalex.org/W2889507358","https://openalex.org/W2963467407","https://openalex.org/W6601248315","https://openalex.org/W6607193717","https://openalex.org/W6638569628","https://openalex.org/W6679935922","https://openalex.org/W6696934422","https://openalex.org/W6697498398","https://openalex.org/W6714031499","https://openalex.org/W6732358006"],"related_works":["https://openalex.org/W2530685530","https://openalex.org/W4375868962","https://openalex.org/W2088854863","https://openalex.org/W2011227383","https://openalex.org/W1976719989","https://openalex.org/W2942893872","https://openalex.org/W2065606036","https://openalex.org/W2184242386","https://openalex.org/W2325729322","https://openalex.org/W1923358586"],"abstract_inverted_index":{"Previous":[0],"studies":[1],"of":[2,28,50,54,93],"speech":[3],"emotion":[4,29],"recognition":[5],"using":[6],"either":[7],"empirical":[8,21,102],"features":[9,22,34,55,60,98,165],"(e.g.,":[10],"F0,":[11],"energy,":[12],"and":[13,99,135],"voice":[14],"probability)":[15],"or":[16],"spectrogram-based":[17,96,167],"statistical":[18,33,97],"features.":[19,103],"The":[20,138,153],"can":[23,57],"highlight":[24],"the":[25,32,48,90,94,100,115,122,143,149,158,163,176],"human":[26,44],"knowledge":[27,45],"recognition,":[30],"while":[31],"enable":[35],"a":[36,84,106,171],"general":[37],"representation,":[38],"but":[39,71],"they":[40],"do":[41],"not":[42,73],"emphasize":[43],"sufficiently.":[46],"However,":[47],"use":[49],"these":[51],"two":[52,129],"kinds":[53],"together":[56],"complement":[58],"some":[59],"that":[61,142,157],"may":[62],"be":[63],"unconsciously":[64],"used":[65],"by":[66,161],"humans":[67],"in":[68],"daily":[69],"life":[70],"have":[72],"been":[74],"realized":[75],"yet.":[76],"Based":[77],"on":[78,128],"this":[79,81],"consideration,":[80],"paper":[82],"proposes":[83],"dynamic":[85],"fusion":[86,145],"framework":[87,146],"to":[88,117],"utilize":[89],"potential":[91],"advantages":[92],"complementary":[95],"auditory-based":[101,164],"In":[104],"addition,":[105],"kernel":[107],"extreme":[108],"learning":[109],"machine":[110],"(KELM)":[111],"is":[112],"adopted":[113],"as":[114],"classifier":[116],"distinguish":[118],"emotions.":[119],"To":[120],"validate":[121],"proposed":[123,144,159],"framework,":[124],"we":[125],"conduct":[126],"experiments":[127],"public":[130],"emotional":[131],"databases,":[132],"including":[133],"Emo-DB":[134],"IEMOCAP":[136],"databases.":[137],"experimental":[139],"results":[140,154],"demonstrate":[141],"significantly":[147],"outperforms":[148],"existing":[150],"state-of-the-art":[151],"methods.":[152,178],"also":[155],"show":[156],"method,":[160],"integrating":[162],"with":[166],"features,":[168],"could":[169],"achieve":[170],"notably":[172],"improved":[173],"performance":[174],"over":[175],"conventional":[177]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}