{"id":"https://openalex.org/W4379230561","doi":"https://doi.org/10.3390/electronics12112512","title":"Speech Emotion Recognition Based on Deep Residual Shrinkage Network","display_name":"Speech Emotion Recognition Based on Deep Residual Shrinkage Network","publication_year":2023,"publication_date":"2023-06-02","ids":{"openalex":"https://openalex.org/W4379230561","doi":"https://doi.org/10.3390/electronics12112512"},"language":"en","primary_location":{"id":"doi:10.3390/electronics12112512","doi":"https://doi.org/10.3390/electronics12112512","is_oa":true,"landing_page_url":"https://doi.org/10.3390/electronics12112512","pdf_url":"https://www.mdpi.com/2079-9292/12/11/2512/pdf?version=1685688379","source":{"id":"https://openalex.org/S4210202905","display_name":"Electronics","issn_l":"2079-9292","issn":["2079-9292"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","norway-1","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronics","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2079-9292/12/11/2512/pdf?version=1685688379","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031265463","display_name":"Tian Han","orcid":"https://orcid.org/0000-0002-4385-6082","observed_orcids":["https://orcid.org/0000-0002-4385-6082"]},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Han","raw_affiliation_strings":["Department of Artificial Intelligence, Jinhua Advanced Research Institute, Jinhua 321013, China","School of Measurement and Communication Engineering, Harbin University of Science and Technology, Harbin 150080, China"],"raw_orcid":"https://orcid.org/0000-0002-4385-6082","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Jinhua Advanced Research Institute, Jinhua 321013, China","institution_ids":[]},{"raw_affiliation_string":"School of Measurement and Communication Engineering, Harbin University of Science and Technology, Harbin 150080, China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010058091","display_name":"Zhu Zhang","orcid":"https://orcid.org/0000-0003-4381-105X","observed_orcids":["https://orcid.org/0000-0003-4381-105X"]},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhu Zhang","raw_affiliation_strings":["Department of Artificial Intelligence, Jinhua Advanced Research Institute, Jinhua 321013, China","School of Measurement and Communication Engineering, Harbin University of Science and Technology, Harbin 150080, China"],"raw_orcid":"https://orcid.org/0000-0003-4381-105X","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Jinhua Advanced Research Institute, Jinhua 321013, China","institution_ids":[]},{"raw_affiliation_string":"School of Measurement and Communication Engineering, Harbin University of Science and Technology, Harbin 150080, China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103121380","display_name":"Mingyuan Ren","orcid":"https://orcid.org/0000-0003-2444-9438","observed_orcids":["https://orcid.org/0000-0003-2444-9438"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mingyuan Ren","raw_affiliation_strings":["Department of Artificial Intelligence, Jinhua Advanced Research Institute, Jinhua 321013, China"],"raw_orcid":"https://orcid.org/0000-0003-2444-9438","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Jinhua Advanced Research Institute, Jinhua 321013, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050252518","display_name":"Changchun Dong","orcid":"https://orcid.org/0000-0001-6245-6546","observed_orcids":["https://orcid.org/0000-0001-6245-6546"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Changchun Dong","raw_affiliation_strings":["Department of Artificial Intelligence, Jinhua Advanced Research Institute, Jinhua 321013, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Jinhua Advanced Research Institute, Jinhua 321013, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091435789","display_name":"Xiaolin Jiang","orcid":"https://orcid.org/0000-0002-0013-7061","observed_orcids":["https://orcid.org/0000-0002-0013-7061"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaolin Jiang","raw_affiliation_strings":["Department of Artificial Intelligence, Jinhua Advanced Research Institute, Jinhua 321013, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Jinhua Advanced Research Institute, Jinhua 321013, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108300183","display_name":"Quansheng Zhuang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quansheng Zhuang","raw_affiliation_strings":["School of Measurement and Communication Engineering, Harbin University of Science and Technology, Harbin 150080, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Measurement and Communication Engineering, Harbin University of Science and Technology, Harbin 150080, China","institution_ids":["https://openalex.org/I100188998"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5010058091"],"corresponding_institution_ids":["https://openalex.org/I100188998"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2224},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2224},"fwci":1.6128,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.84867119,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"12","issue":"11","first_page":"2512","last_page":"2512"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9897000193595886,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9897000193595886,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.008899999782443047,"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":0.0006000000284984708,"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/speech-emotion-recognition","display_name":"speech emotion recognition","score":1.0},{"id":"https://openalex.org/keywords/deep-residual-shrinkage-network","display_name":"deep residual shrinkage network","score":0.9399999976158142},{"id":"https://openalex.org/keywords/mel-spectrogram","display_name":"Mel spectrogram","score":0.7059999704360962},{"id":"https://openalex.org/keywords/bidirectional-gated-recurrent-unit","display_name":"bidirectional gated recurrent unit","score":0.9010000228881836},{"id":"https://openalex.org/keywords/self-attention","display_name":"self-attention","score":0.9399999976158142},{"id":"https://openalex.org/keywords/noise-robustness","display_name":"noise robustness","score":0.6480000019073486},{"id":"https://openalex.org/keywords/casia","display_name":"CASIA","score":0.6399999856948853},{"id":"https://openalex.org/keywords/iemocap","display_name":"IEMOCAP","score":1.0},{"id":"https://openalex.org/keywords/meld","display_name":"MELD","score":0.9990000128746033}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7201482653617859},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6921985745429993},{"id":"https://openalex.org/C180145272","wikidata":"https://www.wikidata.org/wiki/Q7504144","display_name":"Shrinkage","level":2,"score":0.6254356503486633},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6213542222976685},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5731133818626404},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5203860998153687},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.5159731507301331},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48947203159332275},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47038522362709045},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4238697290420532},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3951781988143921},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.17465704679489136},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12315484881401062},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09890922904014587},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3390/electronics12112512","doi":"https://doi.org/10.3390/electronics12112512","is_oa":true,"landing_page_url":"https://doi.org/10.3390/electronics12112512","pdf_url":"https://www.mdpi.com/2079-9292/12/11/2512/pdf?version=1685688379","source":{"id":"https://openalex.org/S4210202905","display_name":"Electronics","issn_l":"2079-9292","issn":["2079-9292"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","norway-1","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3390/electronics12112512","doi":"https://doi.org/10.3390/electronics12112512","is_oa":true,"landing_page_url":"https://doi.org/10.3390/electronics12112512","pdf_url":"https://www.mdpi.com/2079-9292/12/11/2512/pdf?version=1685688379","source":{"id":"https://openalex.org/S4210202905","display_name":"Electronics","issn_l":"2079-9292","issn":["2079-9292"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","norway-1","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronics","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G2675621051","display_name":null,"funder_award_id":"2022-1-046","funder_id":"https://openalex.org/F4320324867","funder_display_name":"Jinhua Science and Technology Bureau"},{"id":"https://openalex.org/G4031373951","display_name":null,"funder_award_id":"G202209","funder_id":"https://openalex.org/F4320324867","funder_display_name":"Jinhua Science and Technology Bureau"},{"id":"https://openalex.org/G6983457675","display_name":null,"funder_award_id":"G202207","funder_id":"https://openalex.org/F4320324867","funder_display_name":"Jinhua Science and Technology Bureau"}],"funders":[{"id":"https://openalex.org/F4320324867","display_name":"Jinhua Science and Technology Bureau","ror":"https://ror.org/0347g4065"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4379230561.pdf","grobid_xml":"https://content.openalex.org/works/W4379230561.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W2510170536","https://openalex.org/W2747506362","https://openalex.org/W2766272105","https://openalex.org/W2807062934","https://openalex.org/W2886411136","https://openalex.org/W2889070090","https://openalex.org/W2889717020","https://openalex.org/W2895615590","https://openalex.org/W2917572534","https://openalex.org/W2956824775","https://openalex.org/W2964370293","https://openalex.org/W2980587061","https://openalex.org/W2997399314","https://openalex.org/W3008039831","https://openalex.org/W3012888109","https://openalex.org/W3013363866","https://openalex.org/W3019352575","https://openalex.org/W3019821141","https://openalex.org/W3022013598","https://openalex.org/W3024085187","https://openalex.org/W3076928706","https://openalex.org/W3096784008","https://openalex.org/W3097255602","https://openalex.org/W3132077032","https://openalex.org/W3139270985","https://openalex.org/W3198220993","https://openalex.org/W3198528147","https://openalex.org/W4221162872","https://openalex.org/W4225699157","https://openalex.org/W4286277926","https://openalex.org/W4296523924","https://openalex.org/W4319596491"],"related_works":["https://openalex.org/W4387769172","https://openalex.org/W2940259008","https://openalex.org/W3134450397","https://openalex.org/W2970737019","https://openalex.org/W7164610617","https://openalex.org/W4413859850","https://openalex.org/W4366782937","https://openalex.org/W4210882655","https://openalex.org/W4385338823","https://openalex.org/W4392034510"],"abstract_inverted_index":{"Speech":[0],"emotion":[1],"recognition":[2],"(SER)":[3],"technology":[4],"is":[5,21,53,59,95],"significant":[6],"for":[7],"human\u2013computer":[8],"interaction,":[9],"and":[10,16,23,30,33,70,83,104,106,114,122,127],"this":[11,56],"paper":[12],"studies":[13],"the":[14,26,31,74,85,107,131],"features":[15],"modeling":[17],"of":[18,28,36,61,109,134],"SER.":[19],"Mel-spectrogram":[20],"introduced":[22],"utilized":[24],"as":[25],"feature":[27],"speech,":[29],"theory":[32],"extraction":[34],"process":[35],"mel-spectrogram":[37],"are":[38,111,119],"presented":[39],"in":[40,55,98],"detail.":[41],"A":[42],"deep":[43],"residual":[44,64],"shrinkage":[45,65],"network":[46],"with":[47,124],"bi-directional":[48,67],"gated":[49],"recurrent":[50,68],"unit":[51],"(DRSN-BiGRU)":[52],"proposed":[54],"paper,":[57],"which":[58,129],"composed":[60],"convolution":[62],"network,":[63,66],"unit,":[69],"fully-connected":[71],"network.":[72],"Through":[73],"self-attention":[75],"mechanism,":[76],"DRSN-BiGRU":[77,110],"can":[78],"automatically":[79],"ignore":[80],"noisy":[81],"information":[82],"improve":[84],"ability":[86],"to":[87],"learn":[88],"effective":[89],"features.":[90],"Network":[91],"optimization,":[92],"verification":[93],"experiment":[94],"carried":[96],"out":[97],"three":[99],"emotional":[100],"datasets":[101],"(CASIA,":[102],"IEMOCAP,":[103],"MELD),":[105],"accuracy":[108],"86.03%,":[112],"86.07%,":[113],"70.57%,":[115],"respectively.":[116],"The":[117],"results":[118],"also":[120],"analyzed":[121],"compared":[123],"DCNN-LSTM,":[125],"CNN-BiLSTM,":[126],"DRN-BiGRU,":[128],"verified":[130],"superior":[132],"performance":[133],"DRSN-BiGRU.":[135]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":6}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2023-06-04T00:00:00"}
