{"id":"https://openalex.org/W3209152908","doi":"https://doi.org/10.3233/ida-205429","title":"Attention mechanism based LSTM in classification of stressed speech under workload","display_name":"Attention mechanism based LSTM in classification of stressed speech under workload","publication_year":2021,"publication_date":"2021-10-29","ids":{"openalex":"https://openalex.org/W3209152908","doi":"https://doi.org/10.3233/ida-205429","mag":"3209152908"},"language":"en","primary_location":{"id":"doi:10.3233/ida-205429","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-205429","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","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/A5100765381","display_name":"Xiao Yao","orcid":"https://orcid.org/0000-0003-4014-1708"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Yao","raw_affiliation_strings":["The College of IoT Engineering, Hohai University, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The College of IoT Engineering, Hohai University, Jiangsu, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024730922","display_name":"Zhengyan Sheng","orcid":null},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhengyan Sheng","raw_affiliation_strings":["The College of IoT Engineering, Hohai University, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The College of IoT Engineering, Hohai University, Jiangsu, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101754816","display_name":"Min Gu","orcid":"https://orcid.org/0000-0001-8461-3776"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]},{"id":"https://openalex.org/I4210105400","display_name":"The First People's Hospital of Changzhou","ror":"https://ror.org/01gaj0s81","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210105400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Gu","raw_affiliation_strings":["Department of Stomatology, Affiliated Third Hospital of Soochow University, Suzhou, Jiangsu, China","The First People\u2019s Hospital of Changzhou, Changzhou, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Stomatology, Affiliated Third Hospital of Soochow University, Suzhou, Jiangsu, China","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"The First People\u2019s Hospital of Changzhou, Changzhou, Jiangsu, China","institution_ids":["https://openalex.org/I4210105400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100408835","display_name":"Haibin Wang","orcid":"https://orcid.org/0000-0002-9269-1229"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haibin Wang","raw_affiliation_strings":["The College of IoT Engineering, Hohai University, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The College of IoT Engineering, Hohai University, Jiangsu, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113354555","display_name":"Ning Xu","orcid":"https://orcid.org/0000-0002-2554-4309"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Xu","raw_affiliation_strings":["The College of IoT Engineering, Hohai University, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The College of IoT Engineering, Hohai University, Jiangsu, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100359300","display_name":"Xiaofeng Liu","orcid":"https://orcid.org/0000-0003-1310-6739"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng Liu","raw_affiliation_strings":["The College of IoT Engineering, Hohai University, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The College of IoT Engineering, Hohai University, Jiangsu, China","institution_ids":["https://openalex.org/I163340411"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5024730922"],"corresponding_institution_ids":["https://openalex.org/I163340411"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.18426824,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"25","issue":"6","first_page":"1603","last_page":"1627"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9973000288009644,"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":0.9973000288009644,"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/T12488","display_name":"Mental Health via Writing","score":0.9376999735832214,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9097999930381775,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7951254844665527},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6986373662948608},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6397274732589722},{"id":"https://openalex.org/keywords/stress","display_name":"Stress (linguistics)","score":0.5496481657028198},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.5393933653831482},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49553239345550537},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.41344988346099854},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4131910800933838},{"id":"https://openalex.org/keywords/speech-corpus","display_name":"Speech corpus","score":0.4131363034248352},{"id":"https://openalex.org/keywords/fusion-mechanism","display_name":"Fusion mechanism","score":0.4107202887535095},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.37041908502578735},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33576589822769165},{"id":"https://openalex.org/keywords/speech-synthesis","display_name":"Speech synthesis","score":0.22454428672790527},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.21182510256767273}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7951254844665527},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6986373662948608},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6397274732589722},{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.5496481657028198},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.5393933653831482},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49553239345550537},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.41344988346099854},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4131910800933838},{"id":"https://openalex.org/C91863865","wikidata":"https://www.wikidata.org/wiki/Q4349497","display_name":"Speech corpus","level":3,"score":0.4131363034248352},{"id":"https://openalex.org/C173414695","wikidata":"https://www.wikidata.org/wiki/Q5510276","display_name":"Fusion mechanism","level":4,"score":0.4107202887535095},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37041908502578735},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33576589822769165},{"id":"https://openalex.org/C14999030","wikidata":"https://www.wikidata.org/wiki/Q16346","display_name":"Speech synthesis","level":2,"score":0.22454428672790527},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.21182510256767273},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C103038307","wikidata":"https://www.wikidata.org/wiki/Q6556360","display_name":"Lipid bilayer fusion","level":3,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/ida-205429","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-205429","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W211912913","https://openalex.org/W1994198923","https://openalex.org/W2036122775","https://openalex.org/W2048207804","https://openalex.org/W2058419974","https://openalex.org/W2136873765","https://openalex.org/W2149095485","https://openalex.org/W2154024118","https://openalex.org/W2212846646","https://openalex.org/W2478986639","https://openalex.org/W2489506305","https://openalex.org/W2598207902","https://openalex.org/W2607267313","https://openalex.org/W2625297138","https://openalex.org/W2736005052","https://openalex.org/W2750666523","https://openalex.org/W2804664105","https://openalex.org/W2884561390","https://openalex.org/W2887115625","https://openalex.org/W2901421269","https://openalex.org/W2915002815","https://openalex.org/W2959546144","https://openalex.org/W2962736520","https://openalex.org/W2962826786","https://openalex.org/W2963351448","https://openalex.org/W2964308564","https://openalex.org/W2980520956","https://openalex.org/W2997700007","https://openalex.org/W3013177325","https://openalex.org/W3022013598","https://openalex.org/W6780637044"],"related_works":["https://openalex.org/W2353179089","https://openalex.org/W2923538289","https://openalex.org/W2353125546","https://openalex.org/W2470643824","https://openalex.org/W2349635380","https://openalex.org/W2353819554","https://openalex.org/W2359488321","https://openalex.org/W2389866386","https://openalex.org/W4313888283","https://openalex.org/W4313887926"],"abstract_inverted_index":{"In":[0,50],"order":[1],"to":[2,13,26,64,82,87,102,123],"improve":[3],"the":[4,19,27,35,43,61,66,74,84,88,93,99,104,117,133,137,157,179,187],"robustness":[5],"of":[6,32,68,96,116],"speech":[7,16,47,78,101,105,151,191],"recognition":[8],"systems,":[9],"this":[10,51],"study":[11],"attempts":[12],"classify":[14,103],"stressed":[15,33,46,90,100,130,150,176],"caused":[17],"by":[18],"psychological":[20],"stress":[21,36,71,165,193],"under":[22,106,192],"multitasking":[23],"workloads.":[24],"Due":[25],"transient":[28],"nature":[29],"and":[30,92,148,153,178],"ambiguity":[31],"speech,":[34,177],"characteristics":[37],"is":[38,80,169,181],"not":[39],"represented":[40],"in":[41,45,114,163,194],"all":[42],"segments":[44,69],"as":[48],"labeled.":[49],"paper,":[52],"we":[53,135],"propose":[54],"a":[55],"multi-feature":[56],"fusion":[57,95],"model":[58,110,139,159],"based":[59],"on":[60,143],"attention":[62,75,184],"mechanism":[63,185],"measure":[65],"importance":[67],"for":[70,120,172,175,189],"classification.":[72,166],"Through":[73],"mechanism,":[76],"each":[77],"frame":[79],"weighted":[81],"reflect":[83],"different":[85],"correlations":[86],"actual":[89],"state,":[91],"multi-channel":[94],"features":[97],"characterizing":[98],"stress.":[107],"The":[108,183],"proposed":[109,138,158],"further":[111],"adopts":[112],"SpecAugment":[113],"view":[115],"feature":[118],"spectrum":[119],"data":[121],"augment":[122],"resolve":[124],"small":[125],"sample":[126],"sizes":[127],"problem":[128],"among":[129],"speech.":[131],"During":[132],"experiment,":[134],"compared":[136],"with":[140,198],"traditional":[141,199],"methods":[142],"CASIA":[144],"Chinese":[145],"emotion":[146],"corpus":[147],"Fujitsu":[149],"corpus,":[152],"results":[154],"show":[155],"that":[156],"has":[160],"better":[161],"performance":[162,180],"speaker-independent":[164],"Transfer":[167],"learning":[168],"also":[170],"performed":[171],"speaker-dependent":[173],"classification":[174],"improved.":[182],"shows":[186],"advantage":[188],"continuous":[190],"authentic":[195],"context":[196],"comparing":[197],"methods.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}