{"id":"https://openalex.org/W4385484580","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191744","title":"Multi-level Feature Joint Learning Methods for Emotional Speaker Recognition","display_name":"Multi-level Feature Joint Learning Methods for Emotional Speaker Recognition","publication_year":2023,"publication_date":"2023-06-18","ids":{"openalex":"https://openalex.org/W4385484580","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191744"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn54540.2023.10191744","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn54540.2023.10191744","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","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/A5112429573","display_name":"Zhongliang Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhongliang Zeng","raw_affiliation_strings":["School of Information Science and Engineering, East China University of Science and Technology,Shanghai,China","School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, East China University of Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I143593769"]},{"raw_affiliation_string":"School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100358079","display_name":"Dongdong Li","orcid":"https://orcid.org/0000-0002-1880-8054"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongdong Li","raw_affiliation_strings":["School of Information Science and Engineering, East China University of Science and Technology,Shanghai,China","School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, East China University of Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I143593769"]},{"raw_affiliation_string":"School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100621319","display_name":"Zhe Wang","orcid":"https://orcid.org/0000-0002-3759-2041"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Wang","raw_affiliation_strings":["School of Information Science and Engineering, East China University of Science and Technology,Shanghai,China","School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, East China University of Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I143593769"]},{"raw_affiliation_string":"School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113744991","display_name":"Hai Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai Yang","raw_affiliation_strings":["School of Information Science and Engineering, East China University of Science and Technology,Shanghai,China","School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, East China University of Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I143593769"]},{"raw_affiliation_string":"School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5112429573"],"corresponding_institution_ids":["https://openalex.org/I143593769"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08443437,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"173","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","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/T10201","display_name":"Speech Recognition and Synthesis","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/T10860","display_name":"Speech and Audio Processing","score":0.9991000294685364,"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/T11309","display_name":"Music and Audio Processing","score":0.9973999857902527,"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":0.7674977779388428},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7605866193771362},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7341816425323486},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.695267915725708},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.6902174353599548},{"id":"https://openalex.org/keywords/speaker-diarisation","display_name":"Speaker diarisation","score":0.5639903545379639},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5491901636123657},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5432111620903015},{"id":"https://openalex.org/keywords/mandarin-chinese","display_name":"Mandarin Chinese","score":0.5319740176200867},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.528772234916687},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48350146412849426},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4670616090297699},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09630283713340759}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7674977779388428},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7605866193771362},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7341816425323486},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.695267915725708},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6902174353599548},{"id":"https://openalex.org/C149838564","wikidata":"https://www.wikidata.org/wiki/Q7574248","display_name":"Speaker diarisation","level":3,"score":0.5639903545379639},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5491901636123657},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5432111620903015},{"id":"https://openalex.org/C138954614","wikidata":"https://www.wikidata.org/wiki/Q9192","display_name":"Mandarin Chinese","level":2,"score":0.5319740176200867},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.528772234916687},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48350146412849426},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4670616090297699},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09630283713340759},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn54540.2023.10191744","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn54540.2023.10191744","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W50951727","https://openalex.org/W152668300","https://openalex.org/W2014836763","https://openalex.org/W2046056978","https://openalex.org/W2069883713","https://openalex.org/W2096479899","https://openalex.org/W2101967488","https://openalex.org/W2112324576","https://openalex.org/W2114902602","https://openalex.org/W2136879537","https://openalex.org/W2141493634","https://openalex.org/W2402195372","https://openalex.org/W2530921900","https://openalex.org/W2614860219","https://openalex.org/W2748488820","https://openalex.org/W2786667782","https://openalex.org/W2883866324","https://openalex.org/W2889238671","https://openalex.org/W2890964092","https://openalex.org/W2895062073","https://openalex.org/W2916301830","https://openalex.org/W2946615417","https://openalex.org/W2963242190","https://openalex.org/W3015253990","https://openalex.org/W3015302980","https://openalex.org/W3015707499","https://openalex.org/W3051526696","https://openalex.org/W3092468857","https://openalex.org/W3095324434","https://openalex.org/W3098260373","https://openalex.org/W3099372643","https://openalex.org/W3115366194","https://openalex.org/W3121150787","https://openalex.org/W3128729589","https://openalex.org/W3128793294","https://openalex.org/W3132302778","https://openalex.org/W3137249133","https://openalex.org/W3164772801","https://openalex.org/W3174476077","https://openalex.org/W3200111860","https://openalex.org/W4220728439","https://openalex.org/W4238587554","https://openalex.org/W6685638408"],"related_works":["https://openalex.org/W2206035908","https://openalex.org/W4247736853","https://openalex.org/W2162158162","https://openalex.org/W1493012537","https://openalex.org/W1999004162","https://openalex.org/W2175373321","https://openalex.org/W2125642021","https://openalex.org/W1521049138","https://openalex.org/W2023466863","https://openalex.org/W2099333848"],"abstract_inverted_index":{"In":[0],"the":[1,18,25,28,32,44,49,104,115,128,140,146,160,172],"real":[2],"scene,":[3],"changes":[4],"in":[5,63,97,100,134,151,171],"speaker":[6,21,29,35,89,129,169,188],"features":[7,47,62,77,80,119],"caused":[8],"by":[9,144],"different":[10,41,64,135],"emotional":[11,34,73,86,136,168],"states":[12],"have":[13],"a":[14,68,183],"great":[15],"impact":[16],"on":[17,174],"performance":[19],"of":[20,27,142,149,162],"recognition.":[22],"To":[23,54],"improve":[24,187],"robustness":[26],"recognition":[30,36,70,170,189],"system,":[31],"existing":[33],"technologies":[37],"tend":[38],"to":[39,66,84,113,186],"cascade":[40],"models,":[42],"ignoring":[43],"frame-level":[45,76,121],"acoustic":[46],"and":[48,60,78,88,106,120,153,164],"segment-level":[50,61,79],"discourse":[51],"habits":[52],"feature.":[53],"this":[55],"end,":[56],"we":[57],"combine":[58],"frame-":[59],"ways":[65],"build":[67],"robust":[69],"system":[71],"for":[72,167],"speakers.":[74],"The":[75,123],"are":[81,111],"jointly":[82],"learned":[83],"retain":[85],"information":[87],"information.":[90],"Four":[91],"joint":[92],"learning":[93],"methods,":[94],"namely,":[95],"Joint":[96,99,102,107,150,154],"series,":[98],"Parallel,":[101],"under":[103],"guidance,":[105],"with":[108,139,155],"Original":[109,156],"Feature,":[110],"discussed":[112],"explore":[114],"correlations":[116],"between":[117],"fragment-level":[118],"features.":[122],"experimental":[124],"results":[125],"illustrate":[126],"that":[127],"feature":[130],"will":[131],"change":[132],"greatly":[133],"states.":[137],"Compared":[138],"accuracy":[141,161],"90.95%":[143],"x-vector,":[145],"proposed":[147],"methods":[148],"parallel":[152],"Features":[157],"can":[158],"achieve":[159],"95.06%":[163],"94.67%":[165],"respectively":[166],"experiment":[173],"Mandarin":[175],"Affective":[176],"Speech":[177],"Corpus":[178],"(MASC).":[179],"Our":[180],"findings":[181],"provide":[182],"novel":[184],"aspect":[185],"robustness.":[190]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
