{"id":"https://openalex.org/W2993426216","doi":"https://doi.org/10.1587/transinf.2019edl8038","title":"Target-Adapted Subspace Learning for Cross-Corpus Speech Emotion Recognition","display_name":"Target-Adapted Subspace Learning for Cross-Corpus Speech Emotion Recognition","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W2993426216","doi":"https://doi.org/10.1587/transinf.2019edl8038","mag":"2993426216"},"language":"en","primary_location":{"id":"doi:10.1587/transinf.2019edl8038","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2019edl8038","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E102.D/12/E102.D_2019EDL8038/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/transinf/E102.D/12/E102.D_2019EDL8038/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061185006","display_name":"Xiuzhen Chen","orcid":"https://orcid.org/0000-0001-5769-7660"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuzhen CHEN","raw_affiliation_strings":["School of Electronic and Information Engineering, Nanjing University of Information Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Nanjing University of Information Science and Technology","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060425100","display_name":"Xiaoyan Zhou","orcid":"https://orcid.org/0009-0002-3471-0441"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyan ZHOU","raw_affiliation_strings":["School of Electronic and Information Engineering, Nanjing University of Information Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Nanjing University of Information Science and Technology","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054796879","display_name":"Cheng Lu","orcid":"https://orcid.org/0000-0002-1477-1020"},"institutions":[{"id":"https://openalex.org/I4210100356","display_name":"Ministry of Education","ror":"https://ror.org/018f7hf93","country_code":"CL","type":"government","lineage":["https://openalex.org/I4210100356"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Cheng LU","raw_affiliation_strings":["Key Laboratory of Child Development and Learning Science of Ministry of Education, Southeast University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Child Development and Learning Science of Ministry of Education, Southeast University","institution_ids":["https://openalex.org/I4210100356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027316177","display_name":"Yuan Zong","orcid":"https://orcid.org/0000-0002-0839-8792"},"institutions":[{"id":"https://openalex.org/I4210100356","display_name":"Ministry of Education","ror":"https://ror.org/018f7hf93","country_code":"CL","type":"government","lineage":["https://openalex.org/I4210100356"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Yuan ZONG","raw_affiliation_strings":["Key Laboratory of Child Development and Learning Science of Ministry of Education, Southeast University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Child Development and Learning Science of Ministry of Education, Southeast University","institution_ids":["https://openalex.org/I4210100356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029771864","display_name":"Wenming Zheng","orcid":"https://orcid.org/0000-0002-7764-5179"},"institutions":[{"id":"https://openalex.org/I4210100356","display_name":"Ministry of Education","ror":"https://ror.org/018f7hf93","country_code":"CL","type":"government","lineage":["https://openalex.org/I4210100356"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Wenming ZHENG","raw_affiliation_strings":["Key Laboratory of Child Development and Learning Science of Ministry of Education, Southeast University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Child Development and Learning Science of Ministry of Education, Southeast University","institution_ids":["https://openalex.org/I4210100356"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038686056","display_name":"Chuangao Tang","orcid":"https://orcid.org/0000-0002-3653-136X"},"institutions":[{"id":"https://openalex.org/I4210100356","display_name":"Ministry of Education","ror":"https://ror.org/018f7hf93","country_code":"CL","type":"government","lineage":["https://openalex.org/I4210100356"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Chuangao TANG","raw_affiliation_strings":["Key Laboratory of Child Development and Learning Science of Ministry of Education, Southeast University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Child Development and Learning Science of Ministry of Education, Southeast University","institution_ids":["https://openalex.org/I4210100356"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5813,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.72788148,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"E102.D","issue":"12","first_page":"2632","last_page":"2636"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9975000023841858,"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/T10057","display_name":"Face and Expression Recognition","score":0.9941999912261963,"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/subspace-topology","display_name":"Subspace topology","score":0.8521120548248291},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8049848675727844},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6482511162757874},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5751019716262817},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5645793676376343},{"id":"https://openalex.org/keywords/matrix-norm","display_name":"Matrix norm","score":0.5429638624191284},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.539322555065155},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5323859453201294},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5083150267601013},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4477194547653198},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.4407433271408081},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.4315629005432129},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.42188021540641785},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21260344982147217},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.15886294841766357}],"concepts":[{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.8521120548248291},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8049848675727844},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6482511162757874},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5751019716262817},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5645793676376343},{"id":"https://openalex.org/C92207270","wikidata":"https://www.wikidata.org/wiki/Q939253","display_name":"Matrix norm","level":3,"score":0.5429638624191284},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.539322555065155},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5323859453201294},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5083150267601013},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4477194547653198},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.4407433271408081},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.4315629005432129},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.42188021540641785},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21260344982147217},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.15886294841766357},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transinf.2019edl8038","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2019edl8038","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E102.D/12/E102.D_2019EDL8038/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/transinf.2019edl8038","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2019edl8038","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E102.D/12/E102.D_2019EDL8038/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2993426216.pdf","grobid_xml":"https://content.openalex.org/works/W2993426216.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W175750906","https://openalex.org/W1543618960","https://openalex.org/W1992227055","https://openalex.org/W1997201895","https://openalex.org/W2000436309","https://openalex.org/W2050752817","https://openalex.org/W2062291443","https://openalex.org/W2074788634","https://openalex.org/W2080117431","https://openalex.org/W2090777335","https://openalex.org/W2102689555","https://openalex.org/W2112483442","https://openalex.org/W2113087918","https://openalex.org/W2117699623","https://openalex.org/W2125462608","https://openalex.org/W2165698076","https://openalex.org/W2168692779","https://openalex.org/W2322208196","https://openalex.org/W2790404832","https://openalex.org/W2795270851","https://openalex.org/W2802656254","https://openalex.org/W2911220936","https://openalex.org/W2955133745","https://openalex.org/W2963198961"],"related_works":["https://openalex.org/W1980381208","https://openalex.org/W2364594919","https://openalex.org/W1861706286","https://openalex.org/W2219338811","https://openalex.org/W2158511632","https://openalex.org/W2786094008","https://openalex.org/W3131501806","https://openalex.org/W2799683370","https://openalex.org/W3204853141","https://openalex.org/W2807745940"],"abstract_inverted_index":{"For":[0],"cross-corpus":[1,40,129],"speech":[2],"emotion":[3],"recognition":[4],"(SER),":[5],"how":[6],"to":[7,46,76,91],"obtain":[8,77],"effective":[9],"feature":[10,17,53,63],"representation":[11],"for":[12,39],"the":[13,52,55,60,124,128],"discrepancy":[14],"elimination":[15],"of":[16,62],"distributions":[18,64],"between":[19],"source":[20,68],"and":[21,59,67,84,107],"target":[22,66],"domains":[23,69],"is":[24,70],"a":[25,33,48],"crucial":[26],"issue.":[27],"In":[28],"this":[29],"paper,":[30],"we":[31,97],"propose":[32],"Target-adapted":[34],"Subspace":[35],"Learning":[36],"(TaSL)":[37],"method":[38,44,117],"SER.":[41],"The":[42,110],"TaSL":[43],"trys":[45],"find":[47],"projection":[49,80],"subspace,":[50],"where":[51],"regress":[54],"label":[56],"more":[57,78],"accurately":[58],"gap":[61],"in":[65,74,127],"bridged":[71],"effectively.":[72],"Then,":[73],"order":[75],"optimal":[79],"matrix,":[81],"\u21131":[82],"norm":[83,86],"\u21132,1":[85],"penalty":[87],"terms":[88],"are":[89],"added":[90],"different":[92],"regularization":[93],"terms,":[94],"respectively.":[95],"Finally,":[96],"conduct":[98],"extensive":[99],"experiments":[100],"on":[101],"three":[102],"public":[103],"corpuses,":[104],"EmoDB,":[105],"eNTERFACE":[106],"AFEW":[108],"4.0.":[109],"experimental":[111],"results":[112],"show":[113],"that":[114],"our":[115],"proposed":[116],"can":[118],"achieve":[119],"better":[120],"performance":[121],"compared":[122],"with":[123],"state-of-the-art":[125],"methods":[126],"SER":[130],"tasks.":[131]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
